In any case, now that we have seen that long sequences are not such of a problem anymore and that image token mixing and text token mixing looks quite similar,


FNet: Mixing Tokens with Fourier Transforms – Paper Explained

Ms. Coffee Bean thinks it's great news for multimodality, where the goal is to combine many types of input data that potentially comes in very long sequences.


Especially if you append one modality to another, like vision and language transformers do.


The Fnet paper is very well written, so what are you waiting for? Leave a like, subscribe, share Ms. Coffee Bean to send her around the world and go read the paper yourself.


Okay, bye.


Ms. Coffee Bean, it has been a while since your last video. Are you getting lazy or what?


Oh, yes, I know I put you in the coffee roaster and left you there, but I was busy with moving and with a paper.


No, no, I did not waste my time.


No, Ms. Coffee Bean, that's rude to say. Go to your coffee roaster.


Vegetarian Eating for Fitness

Morning y'all I just woke up getting some sun in my eyes to to wake me up


Vegetarian Eating for Fitness

But today I'm gonna film a day of eating and probably a little bit of a workout that I'm gonna do


Vegetarian Eating for Fitness

So let me just check in I'm just going to the bathroom. I'll just check in and see how much I weigh


Vegetarian Eating for Fitness

That's right, I forgot my scale diet


Vegetarian Eating for Fitness

But here's what I'm looking like at the moment just woke up no calories. I'm about 70. I would say take my word for it


Vegetarian Eating for Fitness

I know I haven't weighed in but I'm about 70


Vegetarian Eating for Fitness

75 77 kilos in that range


Vegetarian Eating for Fitness

But a bit flat at the moment


Vegetarian Eating for Fitness

I'm about to go do some rings. Oh and by the way first thing I do in the morning waking up


Vegetarian Eating for Fitness

I'm gonna film everything I consume today


Vegetarian Eating for Fitness

Drink at least a liter of water because when you wake up or when you sleep your body loses


Vegetarian Eating for Fitness

Loses water through the breath and through sweat even though you might be warm and toasty or cold


Vegetarian Eating for Fitness

You still lose sweat when you sleep so a lot of water replenish those fluids especially before working out


Vegetarian Eating for Fitness

Alright, so this is like the first thing other than water that I'm consuming today black coffee


Vegetarian Eating for Fitness

I'm a boy Davo


Vegetarian Eating for Fitness

I'm about to head down the waterfront to do some rings check out this view wait for it wait for it


Vegetarian Eating for Fitness

Look at that look at that


Vegetarian Eating for Fitness

Been getting in the habit lately of coming down here rather than going to gym


Vegetarian Eating for Fitness

So I usually don't have anything. What's the time? It's like 8 8 50 like 9 9 a.m.


Vegetarian Eating for Fitness

I usually wouldn't have anything other than water until like at least 10 10 or 11 a.m.


Vegetarian Eating for Fitness

But this this morning because we're working out earlier earlier than usual


Vegetarian Eating for Fitness

I'm gonna get some pre workout in and


Vegetarian Eating for Fitness

Then I probably won't eat later till about 12 or 1 p.m.. But we'll see


Vegetarian Eating for Fitness

So I'll show you where we do the rings


Vegetarian Eating for Fitness

Yeah, buddy


Vegetarian Eating for Fitness

Check out this view


Vegetarian Eating for Fitness

Got the ring set up this tree is actually perfect. It's got the branch out


Vegetarian Eating for Fitness

How hard a ring dips Davo


Vegetarian Eating for Fitness

They're good. So we're gonna do six sets of six ring dips and probably lock out at the top or try to at least


Vegetarian Eating for Fitness

Try them you never tried ring dips before I would say on order of three times as hard as normal dips


Vegetarian Eating for Fitness

I


Vegetarian Eating for Fitness

Got about three three to five sets of ten rows the rings aren't ideally low enough, but I'll do


Vegetarian Eating for Fitness

I'm feeling over


Vegetarian Eating for Fitness

Just finished the workout at the waterfront did some rings


Vegetarian Eating for Fitness

What we do like five sets six sets of dips only a few reps maybe maximum six reps. How many do you get out?


Vegetarian Eating for Fitness

And then we did three three sets of like pulls like row rows bodyweight rows


Vegetarian Eating for Fitness

No three three to five sets of ten reps


Vegetarian Eating for Fitness

We didn't even write down kind of just playing around and then I went for a swim in the cold water


Vegetarian Eating for Fitness

And now we're going to Davos to record a podcast


Vegetarian Eating for Fitness

So I'll put a link to that in the description and then maybe have some food after that


Vegetarian Eating for Fitness

I don't know. I got some things I want to do before I eat. Um


Vegetarian Eating for Fitness

Yeah, but I'll make sure I record whatever I do eat. We might chest mate


Vegetarian Eating for Fitness

The pump from the rings in my opinion the rings are the best


Vegetarian Eating for Fitness

Upper-body sort of development tool as well as pull-ups rings and pull-ups. All right, y'all so it's like 3 p.m


Vegetarian Eating for Fitness

And this is like the first meal I've had today or first


Vegetarian Eating for Fitness

Calories that I'm consuming today


Vegetarian Eating for Fitness

So we got three eggs three whole eggs broccolini mushrooms


Vegetarian Eating for Fitness

onions tomato


Vegetarian Eating for Fitness

Whole bunch of greens underneath that some pistachios


Vegetarian Eating for Fitness

drizzled with


Vegetarian Eating for Fitness

balsamic vinaigrette and


Vegetarian Eating for Fitness

Some light taste olive oil personally, I prefer the full taste olive oil, but uh, we'll get we'll get over it


Vegetarian Eating for Fitness

Yeah, this is the first meal of the day. It's


Vegetarian Eating for Fitness

High in protein high in fat not high in carbohydrate because I'm going to do some


Vegetarian Eating for Fitness

Do some study after this meal and I find that if I have carbohydrates it sort of slows me down


Vegetarian Eating for Fitness

And so I'm having a high protein high fat meal so I don't get that I know lethargic feel


Vegetarian Eating for Fitness

I'll have a whole bunch of carbohydrates for my next meal, but


Vegetarian Eating for Fitness

How is it Dave?


Vegetarian Eating for Fitness

Decided to have a little snack so Apple


Vegetarian Eating for Fitness

So we've got meal two


Vegetarian Eating for Fitness

It's like almost 7 p.m. Where I am right now


Vegetarian Eating for Fitness

And so this is this is fairly late and it kind of looks like a breakfast. But trust me. This is like a treat. So


Vegetarian Eating for Fitness

What is this exactly? It is one cup of oats


Vegetarian Eating for Fitness

250 mils of egg whites blend it up and then a little bit of fiber as well a little bit of coconut milk and


Vegetarian Eating for Fitness

some almond butter


Vegetarian Eating for Fitness

Mixed berries and then we got of course the soda water


Vegetarian Eating for Fitness

For now because I'm a bit fancy. So I don't know what the macros of these are at the moment


Vegetarian Eating for Fitness

It's probably at least a thousand calories worth because I've got a lot of almond butter on there. Maybe 50 60 grams worth


Vegetarian Eating for Fitness

But this is a staple in my diet currently. It's not even that bad


Vegetarian Eating for Fitness

The only sugar in it is from the berries and that's like a fruit sugar. So


Vegetarian Eating for Fitness

The rest of it is sort of high in fiber


Vegetarian Eating for Fitness

Oh, it's a really good high in carbohydrates high in fats and it's good fats because from almond butter


Vegetarian Eating for Fitness

But I've got a video on actually how I make this so I'll put that in the description as well


Vegetarian Eating for Fitness

This is I call it my pancake of peace. This is probably my second last meal for today


Vegetarian Eating for Fitness

I'll have one meal after one more after this and then that'll be it


Vegetarian Eating for Fitness

So this will probably be my last meal today. Well last big meal. It is around 8 p.m


Vegetarian Eating for Fitness

I know it's only been like an hour since I just like last ate but I try to get all my calories in


Vegetarian Eating for Fitness

Before 8 p.m. Well, this is gonna be just after 8 p.m


Vegetarian Eating for Fitness

But I don't like eating too close to when I go to sleep and I usually go to sleep around


Vegetarian Eating for Fitness

Between 10 and 11 p.m. So I like sort of giving my body time to digest a few so I'm not lying in bed with a full stomach


Vegetarian Eating for Fitness

What are we going here? There's some salsa bean mix some avocado some guac on top


Vegetarian Eating for Fitness

Some wraps here. We have this stuff along with more guacamole and rice in the in the burritos


Vegetarian Eating for Fitness

One whole carrot about a dozen pistachios two strawberries and then a whole bunch of greens


Vegetarian Eating for Fitness

Let's do it. I don't know how many calories this is. I haven't actually been tracking any of this all day


Vegetarian Eating for Fitness

I haven't tracked in about 18 months to two years


Vegetarian Eating for Fitness

But I may add this all up at the end of the day if I can be bothered so I give some amount to you guys


Vegetarian Eating for Fitness

But I'm gonna eat this while editing a video and I'll catch you at the next meal


Vegetarian Eating for Fitness

Or snack maybe a little snack after this. Alright, so this will be the last thing I eat today


Vegetarian Eating for Fitness

It's about 9 p.m. So a bit or just after 9 p.m. 930 Wow


Vegetarian Eating for Fitness

A bit later than I'd usually eat but I'm gonna have this to finish off the day because I started only 8 started eating around 3 p.m


Vegetarian Eating for Fitness

It's just a essentially a protein ball. You got dates almond butter oats


Vegetarian Eating for Fitness

cranberries and pepitas


Vegetarian Eating for Fitness

That'll be the last thing I today something small and again as I said, I don't usually eat this light


Vegetarian Eating for Fitness

But I ended up tracking everything or putting everything into my fitness power to just see how much I'm consuming


Vegetarian Eating for Fitness

Because I haven't tracked in about I don't know 18 months at least but I'm


Vegetarian Eating for Fitness

Haven't been trying to actively build muscle actively lean down. I'm I'm happy with how I am at the moment


Vegetarian Eating for Fitness

But just so you can see just so you're aware


Vegetarian Eating for Fitness

My fitness power is giving me about twenty one twenty eight hundred and fifty calories total for the day


Vegetarian Eating for Fitness

And if we look at the macro intake we have


Vegetarian Eating for Fitness

290 grams of carbs


Vegetarian Eating for Fitness

128 grams of fat 127 grams of protein. How would I change my macros?


Vegetarian Eating for Fitness

I'll probably increase the protein a little bit and decrease the fat and increase the carbs a little bit


Vegetarian Eating for Fitness

But to be honest, I'm not trying to build any muscle at the moment. I'm happy being where I am


Vegetarian Eating for Fitness

I'm just sort of being in a maintenance level


Vegetarian Eating for Fitness

Still eating adequately enough to fuel me for your work fuel me through workouts as well as


Vegetarian Eating for Fitness

recover and sort of


Vegetarian Eating for Fitness

Get ready for the next workout. Like that's that's all I'm really sort of wanting to do at the moment


Vegetarian Eating for Fitness

As for my diet you probably noticed or you maybe didn't that it was completely vegetarian and that's sort of I'm not a strict vegetarian


Vegetarian Eating for Fitness

I will have meat products from here to here. I'm not a vegan either. I do have animal products through eggs and egg whites


Vegetarian Eating for Fitness

I'm sort of tossing up between maybe trying out veganism for a period of time


Vegetarian Eating for Fitness

Just to see how it goes. There is a lot of sort of health benefits to do with that not only


Vegetarian Eating for Fitness

Sort of ethical, I don't know helping out the animals and whatnot helping out the earth because of greenhouse gases from from animals and whatnot


Vegetarian Eating for Fitness

But just generally the body apparently likes plants and I still need to do my more of my own research on these before I


Vegetarian Eating for Fitness

Jump into it


Vegetarian Eating for Fitness

And also just generally maintaining that sort of lifestyle is a lot harder than it seems


Vegetarian Eating for Fitness

And also just generally maintaining that sort of lifestyle is a lot harder than the way I'm eating if I was to describe how I eat


Vegetarian Eating for Fitness

It's I would say 90%


Vegetarian Eating for Fitness

Vegetarian I will have meat maybe once a week in the form of chicken or fish or something like that


Vegetarian Eating for Fitness

But the majority of my protein will come from eggs egg whites beans lentils


Vegetarian Eating for Fitness

wheat and


Vegetarian Eating for Fitness

Yeah, that's about it. Maybe a little bit from nuts and whatnot in rice


Vegetarian Eating for Fitness

But yeah, and the reason being I started that was because I was getting I had a lot of skin issues


Vegetarian Eating for Fitness

And there was some I was trying so many things like I'm not gonna be honest with you


Vegetarian Eating for Fitness

I tried so many so many creams so many


Vegetarian Eating for Fitness

Washes so many whatever and it wasn't until I cut meat products and dairy products out of my diet that I noticed a


Vegetarian Eating for Fitness

Significant change in the way my skin appeared and that was just with me


Vegetarian Eating for Fitness

That's just something I found from research and then trialing it and I've just stuck with it ever since then and it's been


Vegetarian Eating for Fitness

relatively easy to maintain


Vegetarian Eating for Fitness

Because I'm not strict on the vegetarianism or the veganism


Vegetarian Eating for Fitness

Like if I go to a dinner with friends and there's meat there


Vegetarian Eating for Fitness

I'm going to eat that or if I my mom cooks one of her favorite dishes and she really wants me to try it


Vegetarian Eating for Fitness

I'm going to try not gonna say no


Vegetarian Eating for Fitness

but that's that's just the way I take it and


Vegetarian Eating for Fitness

I'd love to hear what your takes are on it


Vegetarian Eating for Fitness

I want to if you if you have any tips for me in the future of making sort of videos like this


Vegetarian Eating for Fitness

How can I improve them leave a like leave a comment in the description as well?


Vegetarian Eating for Fitness

I'd love to sort of I know make more videos on food and whatnot because I really love food


Vegetarian Eating for Fitness

But thank you so much for watching. I gotta get some sleep


Vegetarian Eating for Fitness

Digest all this food I've eaten today and recover my muscles from today's ring workout, but we'll catch in the next vid


Vegetarian Eating for Fitness


Three Keys to a Good Warmup

Ah mate, what are you devouring there?


Three Keys to a Good Warmup

Hey man.


Three Keys to a Good Warmup

What are you eating there for your pre-workout snack?


Three Keys to a Good Warmup

This is handmade Australian soft biltong.


Three Keys to a Good Warmup

Soft biltong?


Three Keys to a Good Warmup

Ah.


Three Keys to a Good Warmup

What would you rate it?


Three Keys to a Good Warmup

It hasn't got much flavouring.


Three Keys to a Good Warmup

I'm not sure if it's mento.


Three Keys to a Good Warmup

Yeah.


Three Keys to a Good Warmup

But it's alright.


Three Keys to a Good Warmup

How would you improve?


Three Keys to a Good Warmup

Well I'm gonna try and make my own.


Three Keys to a Good Warmup

Biltong king.


Three Keys to a Good Warmup

Probably be big jerky.


Three Keys to a Good Warmup

I don't really know the difference though.


Three Keys to a Good Warmup

Stay tuned.


Three Keys to a Good Warmup

Hello man.


Three Keys to a Good Warmup

We here!


Three Keys to a Good Warmup

What are we up to my boy J?


Three Keys to a Good Warmup

How we doing brother?


Three Keys to a Good Warmup

Not too bad bro, not too bad.


Three Keys to a Good Warmup

So today, just gonna hit a pretty basic strength session.


Three Keys to a Good Warmup

Gonna...


Three Keys to a Good Warmup

What do we start off with?


Three Keys to a Good Warmup

So we're gonna, you know, mobilise.


Three Keys to a Good Warmup

So roll out our hips, six thermal rotators.


Three Keys to a Good Warmup

Make sure that the hips are clear for some smooth deadlifts


Three Keys to a Good Warmup

and the shoulders are primed to push properly.


Three Keys to a Good Warmup

We'll run through like a nice little hip routine


Three Keys to a Good Warmup

and then we'll go through our shoulder girdle routine


Three Keys to a Good Warmup

just to make sure everything's open and ready to go.


Three Keys to a Good Warmup

Then we'll hit a little stability and activation round.


Three Keys to a Good Warmup

So that's gonna be six dead bugs with a five second hold at the bottom.


Three Keys to a Good Warmup

Dead bug, good morning and squat.


Three Keys to a Good Warmup

I'm keen for those.


Three Keys to a Good Warmup

I've never done dead bugs.


Three Keys to a Good Warmup

And then what's today's focus?


Three Keys to a Good Warmup

Last week was movement.


Three Keys to a Good Warmup

What are we focusing on today?


Three Keys to a Good Warmup

Some pretty basic old school strength.


Three Keys to a Good Warmup

Old school strength.


Three Keys to a Good Warmup

Eight reps, deadlift and bench, six rounds


Three Keys to a Good Warmup

and then maybe finish up on some gymnastics rings.


Three Keys to a Good Warmup

And look at this outfit.


Three Keys to a Good Warmup

Look at this.


Three Keys to a Good Warmup

This is custom in the raw environment.


Three Keys to a Good Warmup

No shoes.


Three Keys to a Good Warmup

Let's start.


Three Keys to a Good Warmup

Oh, you're looking good man.


Three Keys to a Good Warmup

You're looking real good.


Three Keys to a Good Warmup

Woo!


Three Keys to a Good Warmup

Few clips of the warm up here.


Three Keys to a Good Warmup

The first exercise was dead bugs.


Three Keys to a Good Warmup

Idea is to keep one arm and one leg alternating in the air


Three Keys to a Good Warmup

and go back and forth for a few reps.


Three Keys to a Good Warmup

Then we did some bandage stretch good mornings


Three Keys to a Good Warmup

or stiff leg deadlifts to activate the hips and glutes.


Three Keys to a Good Warmup

And then we finished out with some bodyweight squats


Three Keys to a Good Warmup

for a few rounds to mimic the deadlift movement.


Three Keys to a Good Warmup

Are you warm, mate?


Three Keys to a Good Warmup

You need your fertilizer?


Three Keys to a Good Warmup

Yeah.


Three Keys to a Good Warmup

You get it out there.


Three Keys to a Good Warmup

There's plenty of it here.


Three Keys to a Good Warmup

How are you warm, mate?


Three Keys to a Good Warmup

You warm?


Three Keys to a Good Warmup

I'm warm enough that I've got about a kilo of bintong


Three Keys to a Good Warmup

falling out of my mouth.


Three Keys to a Good Warmup

Bintong.


Three Keys to a Good Warmup

It's like bintong in the beer from Bali.


Three Keys to a Good Warmup

We just did some dead bugs, good mornings and squats.


Three Keys to a Good Warmup

And Jay, what are they for?


Three Keys to a Good Warmup

Right, yeah, so I picked this number up


Three Keys to a Good Warmup

off the Power Athlete HQ crew.


Three Keys to a Good Warmup

So basically-


Three Keys to a Good Warmup

Shout out to Power Athlete HQ.


Three Keys to a Good Warmup

Yes, revolutionizing fitness guys.


Three Keys to a Good Warmup

So what we did, we did some dead bugs


Three Keys to a Good Warmup

just to connect the torso through to the hips


Three Keys to a Good Warmup

and just activate all the core work, all your core muscles.


Three Keys to a Good Warmup

That was surprisingly hard.


Three Keys to a Good Warmup

Yes, they-


Three Keys to a Good Warmup

Take a lot of coordination.


Three Keys to a Good Warmup

They bring you down to your knees.


Three Keys to a Good Warmup

Oh yeah.


Three Keys to a Good Warmup

Then we went through a banded good morning for eight reps


Three Keys to a Good Warmup

just to get the blood flow into the back of the hamstrings


Three Keys to a Good Warmup

and the glutes.


Three Keys to a Good Warmup

And then we mimicked the deadlift movement


Three Keys to a Good Warmup

just with a body weight squat for five reps.


Three Keys to a Good Warmup

And then we just did four rounds of that.


Three Keys to a Good Warmup

And what were you saying is to stabilize,


Three Keys to a Good Warmup

activate and mimic.


Three Keys to a Good Warmup

I just learnt that.


Three Keys to a Good Warmup

So if you're warming up for some sort of exercise,


Three Keys to a Good Warmup

we're about to jump into deadlifts and bench press.


Three Keys to a Good Warmup

And so what those exercises were targeted at


Three Keys to a Good Warmup

was to stabilize, activate and mimic the movements


Three Keys to a Good Warmup

we're about to do.


Three Keys to a Good Warmup

So we're going to jump into six rounds


Three Keys to a Good Warmup

of eight reps of bench press


Three Keys to a Good Warmup

and eight reps of deadlift superset.


Three Keys to a Good Warmup

In your natural habitat, brother.


Three Keys to a Good Warmup

Yeah, mate.


Three Keys to a Good Warmup

These puppies know they're about to come alive.


Three Keys to a Good Warmup

Get down there.


Three Keys to a Good Warmup

You're looking good, man.


Three Keys to a Good Warmup

Hey man, you look real good, eh?


Three Keys to a Good Warmup

You look really good.


Three Keys to a Good Warmup

The main two strength exercise we focused on


Three Keys to a Good Warmup

in this workout were deadlift and bench press.


Three Keys to a Good Warmup

We supersetted each exercise.


Three Keys to a Good Warmup

Whoa, look at Jay right here.


Three Keys to a Good Warmup

What an absolute beast.


Three Keys to a Good Warmup

So we did six rounds of eight reps,


Three Keys to a Good Warmup

supersetting the exercises with about one to two minutes


Three Keys to a Good Warmup

rest within each set.


Three Keys to a Good Warmup

And trust me, they're 10 kilo plates.


Three Keys to a Good Warmup

Not the 20s, so that's about 80 kilos, not 140.


Three Keys to a Good Warmup

And then I was just like, you know,


Three Keys to a Good Warmup

sometimes I pick it up, sometimes I put it down,


Three Keys to a Good Warmup

but at the end of the day, it all just adds to zero, man.


Three Keys to a Good Warmup

What's it add up to, Davo?


Three Keys to a Good Warmup

Nothing but noughts.


Three Keys to a Good Warmup

We just finished up some deadlift and bench press for,


Three Keys to a Good Warmup

I keep forgetting, six rounds of eight reps,


Three Keys to a Good Warmup

supersetting each one.


Three Keys to a Good Warmup

And how much rest you reckon we took in between?


Three Keys to a Good Warmup

Probably a couple minutes per set.


Three Keys to a Good Warmup

We weren't timing the rest.


Three Keys to a Good Warmup

But it wasn't like we were sort of waiting


Three Keys to a Good Warmup

for an extended period of time.


Three Keys to a Good Warmup

We just go and when you're ready.


Three Keys to a Good Warmup

I'd say about a minute to two minutes


Three Keys to a Good Warmup

at least between each set.


Three Keys to a Good Warmup

But now we're gonna get onto some play and do some boxing.


Three Keys to a Good Warmup

You're about to see a complete novice at work.


Three Keys to a Good Warmup

Jay, you ready to teach me a few things?


Three Keys to a Good Warmup

Bust my chops.


Three Keys to a Good Warmup

You gonna bust my chops up?


Three Keys to a Good Warmup

Teach him one too.


Three Keys to a Good Warmup

We'll see where he goes from there.


Three Keys to a Good Warmup

As you'll see here, Floyd Mayweather and Conor McGregor


Three Keys to a Good Warmup

should really be shaking in their boots.


Three Keys to a Good Warmup

Cause your boy's coming up.


Three Keys to a Good Warmup

Nah, I'm kidding.


Three Keys to a Good Warmup

We focused on some footwork for the first few minutes


Three Keys to a Good Warmup

of the boxing session.


Three Keys to a Good Warmup

I was stiff as a board.


Three Keys to a Good Warmup

Couldn't really move around.


Three Keys to a Good Warmup

And then we just went into some quick one, two jabs.


Three Keys to a Good Warmup

I'm not even sure what to call it.


Three Keys to a Good Warmup

I've got a left hook on me, like a small kitten.


Three Keys to a Good Warmup

But it was so much fun.


Three Keys to a Good Warmup

We just finished up with some boxing, some playtime.


Three Keys to a Good Warmup

As you can see, I'm completely drenched in sweat.


Three Keys to a Good Warmup

It's like 30 plus degrees here.


Three Keys to a Good Warmup

Nah, probably not even that hot yet.


Three Keys to a Good Warmup

It's not summer yet.


Three Keys to a Good Warmup

But we started off, that was an epic workout.


Three Keys to a Good Warmup

Thanks brother.


Three Keys to a Good Warmup

See if we get that on camera.


Three Keys to a Good Warmup

Started out with some mobility, did some stretching,


Three Keys to a Good Warmup

and then did some stabilization.


Three Keys to a Good Warmup

You'll see some footage of that.


Three Keys to a Good Warmup

And then what did we do?


Three Keys to a Good Warmup

So what did we, yeah, mobility, stability,


Three Keys to a Good Warmup

some strength work, and then just a bit of skill work


Three Keys to a Good Warmup

on the pads.


Three Keys to a Good Warmup

Yeah, that was good fun.


Three Keys to a Good Warmup

So that workout had everything you want.


Three Keys to a Good Warmup

It's got mobility, it's got stability,


Three Keys to a Good Warmup

it's got strength, and got play.


Three Keys to a Good Warmup

If you can get those four things together,


Three Keys to a Good Warmup

that's a perfect workout.


Three Keys to a Good Warmup

Maybe not every time,


Three Keys to a Good Warmup

but do one of those type of workouts per week.


Three Keys to a Good Warmup

Or so one play, one strength, one mobility,


Three Keys to a Good Warmup

you'll be in good shape.


Three Keys to a Good Warmup

Anyway, we'll see you next week.


Three Keys to a Good Warmup


Are courses enough for a job? | Machine learning engineer livestream Q&A

who always the little moment between clicking the go live button and actually


going live we ready are we going live are we live excellent connection boom


fish on I think we're live let me know in the chat can you are if you're there


let me know if we're live because that would be amazing I always have this


little ah and if you can hear me that would be even more incredible but hello


everyone welcome to the stream I'll just wait we're live a chic how are you


rather can you hear me can you hear me loud and clear leave a thumb up in the


chat if you can hear me I'll just sit patiently make sure we're connected


we're live we are live yes welcome setwick welcome loner we're here to


celebrate just being here you know just dancing if you're new to the channel


welcome welcome welcome we've had a fair few new subscribers over the past month


or so which is which is kind of crazy it's I never really you can't help like


YouTube like kind of puts these analytics in front of you all the time


so you can't help but but check them out so I don't really like pay attention to


put it this way I don't really have a goal of like what what number of


subscribers I want to get to I just like making videos and so if you're new to


the channel welcome welcome welcome thank you so much if you've been here


before you know how this works we have a little party we dance around I do a Q&A


for like an hour or so I've got a whole bunch of questions banked ready to go


but if you have any questions relating to anything anything at all that's what


this is about machine learning health business whatever you want leave it in


the chat I'm kind of gonna go back and forth between bouncing the questions


that I have banked and questions in the live chat so and if I don't get to your


question in the chat because there's too many things don't be afraid to post it


twice I'm pretty sure you can mention my name and that'll highlight it or


whatever so let's get let's get started oh and by the way I've lost all my


powers I lost my mullet I got it shaved off it was getting in the way like I do


a lot of jiu-jitsu and whatever and so it's just getting sweaty and and yuck


and whatever and one of the perks about having long hair is that you have long


hair long hair is pretty cool but the downsides are basically everything else


because there's so much maintenance it's it just gets in the way yeah yeah yeah


anyway we're not here to talk about hair let's get so what I'm gonna do I need to


set up my my notion of questions look at this I wonder if this is gonna work boom


oh look at that let's uh let's dive right into here can you still hear me if


I keep this here like if I keep this like there and I got the chat over this


side and let's go I'm gonna start just from the top I'm gonna probably work


through these maybe go one for one you got some questions oh this was supposed


to be July live stream we're a few days late August live stream QA and I think


today is the sixth but hello everyone hey Driz how are ya hey Armando Carlos


Landon so weak so good thank you everyone for saying that uh you can hear


me I really appreciate it let's see him let's pump it into here so got some


questions from sat week I might turn these into a little to-do because I like


checking things off don't be afraid if you're new to this sort of session leave


a question in the chat I'll get to as many as I can you you know I'm I have a


little bit of a tendency to waffle on about things so please let me know if my


answers aren't as good as you are there's a big preface to all of this by


the way you must know that anything that I say and this is this goes for advice


that you take from anyone any answer that I give is going to be biased by my


own experiences so that's what you have to tell yourself is that even though


that I'm saying something you have to ask yourself does what Daniel says


relate to me in my current situation so although what I might do might sound


good it might not be for you that goes for anyone else like including someone


that you see is like a rock star or someone who's doing really good you got


a you got to take their advice and apply it to your own situation so grain of


salt with all of these answers right sat week let's go he's read some answers on


Cora telling me that careers in AI aren't as exciting as learning it and now


AI is mostly overhyped and that most of the people learning AI will never


actually get a job in it oh that's very very interesting question well there's a


three-part question here actually I'm preparing for the tensor flow


certification exam hoping it would get me some sort of edge in the interviews


but that made me kind of demotivated I'm desperate to know what you think


don't sugarcoat anything a harsh truth will always be better than a sweet lie


yeah you know me well I like I must prefer the harsh truths as well so let's


go into this you said AI is mostly overhyped I would agree with that the


reason being is because a lot of people who typically work in AI like directly


on it are like hardcore engineers or they're like mathematicians and whatnot


whereas a lot of the people who talk about AI a journalist including like


myself I'm not gonna lie like I hope I put up in some of my videos and what


not and so what you get is a discrepancy between like the engineers who are


actually working on these things and like journalists who report on these


things and so if you were to read an article within like the last three years


of like what AI is is capable of is you'll probably think that wow it's


gonna take my job it's gonna automate everything it's gonna we're gonna be


it's gonna be rise of the Terminator robots that's what like have you seen


those classic articles that just have like the the Terminator face and it's


like AI is gonna take your job and all that sort of stuff whereas if you're an


engineer actually working on these sort of things you probably know that that


scenarios like pretty unlikely and that who knows I'm not I'm not gonna pretend


that I can predict what the outcome of the future of AI is gonna be but once


you start to realize okay all this like machine learning stuff is actually just


a combination of linear algebra and a bit more math and finding patterns in


data then you go kind of like oh that rise of the robots thing that's that's


pretty hard to imagine again that might actually happen who knows and so you get


this discrepancy right you get what what's been reported on actually


happening because those sort of stories sell whereas if you're an engineer


working on it your article that you write that's that's beautifully decadent


in in latex math and all this code and whatnot not many people are gonna read


that aside from the people who are like you and and like that sort of stuff so


that's where you get this overhyped thing and now of course one part of it


has to be that it kind of has to be overhyped for anything the reason being


is for someone to get excited about something it has to there has to be a


narrative around it there has to be a story that someone can latch on to and


go you know what I want to work for that and if you had told someone like a


hundred years ago you know what we're gonna fly a rocket to another planet how


do you think that would have reacted to that that would have been a wow that's


that's I can't no that's not gonna happen so you have to create that


narrative about why it's why we need to do the things that we're working on and


so one way to look at this is to buy into that like that those core answers


that you've been reading saying that AI is overhyped it's more fun to learn it


than it is to actually working on you can pay attention to that you can pay


attention to the naysayers all you want but is that going to help you go where


you want to go see this is how I always look at things right is is what someone's


saying okay they might be truth in saying that it's overhyped but as does


that help me in in what I want to work on so in my case right I want to work on


these these new technologies I want to build things with with AI and machine


learning and so if I listen to people that say oh it's overhyped it's


overhyped it's it's not gonna do anything rather than actually building


the thing I want to build or trying to build the thing I want to build well


then you see you see where that's not very helpful so that's my aspect is


whatever you do no matter what it is you're always going to have some group


of people saying oh it's overhyped you can't do this you can't do that and then


you have people like Elon Musk and SpaceX who are sending reusable rockets


into the atmosphere and bringing them down and of course it's an extreme case


scenario but that's just that's just an example right it's what's what's the


point of like killing a dream before you even try it you know so you could listen


to all this sort of stuff about AI being overhyped and it's more fun to learn it


than it needs to work on it or you could just work on it that's my take and


now he says there what do we got here I'm preparing for the the TensorFlow


certification exam hoping it would get me some sort of edge in interviews but


that's kind of got me demotivated look put it this way I posted a video the


other day of me doing the TensorFlow certification exam truth be told I've


had thoughts of like taking it down not posting it the reason being is because


certificates also just create this illusion right this illusion of like if


I just do this certificate like I'm ready for a job so certificates are just


one way of showcasing skill there are nice to have the reason I kind of went


for it and wanted to get it was because I just wanted to spend a month studying


and then if I had like this one like very specific goal at the end of the


month that I wanted to do then I would like work towards that what is more


important than certificates is actual skill right show me someone I've got


core certificates coming out my ass because I just I got I got stuck in that


narrative of just if I complete more courses and then I get these


certificates well then I can share this beautiful little thing and then I can


show an employer look at look at all these certificates that I have now okay


sure some employers might value the fact that you have a certificate but if I


think about myself and I think about if I was hiring someone for the


machine learning team that that that I'm working on the startup that I'm building


what would I be more impressed by would I be impressed by someone who's got a


rack of certificates and the reason being is because I know you know deep


down I know deep down that is actually easier to get a certificate than it was


to for example build out my own project and post that project to github and so


if I've if someone like if I've got someone here person a who's got like


this beautiful project that they've worked on you can clearly tell that they


put a lot of effort into this project it's it's fully built up through github


like all the codes on github etc and they've got like maybe they've even got


a like a little bit of a deployed version of a of a prototype the


prototype could be work 70% as well maybe it doesn't work all the time or


I've got person be who's got like a collection of certificates that you can


you can basically gain them you can't really game working on your own


projects sure you can you can take template code from someone else but if


you really want to make it your own you have to put in you have to put in some


self-guided effort so that's if that was the only two things differentiating


between the two people I would probably choose the person who's worked on their


own projects nine times out of ten this is this is like if you if I ever put out


a job ad that that's in the future if I'm hiring someone like as an engineer


to work on take note right I probably won't even maybe I'll look at


certificates or courses or whatever but if you've got your own like deep


learning projects or machine learning projects I'll favor that so yeah take


the exam if you want but no certificate is a guarantee of a job no project is a


guarantee of a job these are these are it's it's impossible to answer the


questions is like how like things like how much math do I need to know or when


am I ready for a job or how much should I do for this like those those things


are you can't measure those if you could that mean probably there's someone who


would gamified by now so when you're when you're interacting with people or


going for a job or something like that it's not an exact science so there's no


real way to go oh you're ready right now the the better way to look at it is to


go to to just always be apply for something or apply for some sort of role


or take on a challenge when you think you're almost ready because if you wait


to to take on a challenge or apply for a job or something when you're 100% ready


you're never gonna be there so you're always just gonna keep holding yourself


back so 70% ready is enough for anything all right we've got on a little bit of a


rant for that but uh yeah value skills over certificates don't be like me and


have certificates coming out your ass put an empty github repo and work on


your own projects because they're they're the really so build foundation


I'm not not not knocking courses build foundational skills from courses but


then build specific skills through working on your own projects so that's


it now let's go to the chat what do we got here and holy crap good to see you


all here so amazing you're all here and there was a question right up the top


I'm going back in the chat let me just uh boom so I'm gonna tick these off here


and so now we're going in the chat someone asked there's a question on


biased here there was one on BJJ here we go a human called tenor what's going on


oh we got 81 viewers what's up what's up people how you doing hello from Australia


we got tenor don't worry I'm gonna get to I've got these questions here so I'm


gonna get to those soon so tenor I just wanted to talk about this uh jujitsu


question and I am a white belt in jujitsu where is my belt I had jujitsu


training this morning actually where is my belt there is boom this is my belt


I'm a white belt four stripes what that means is I'm kind of close to to a blue


belt and so I've been doing jujitsu since November 2018 and it's really good


fun like it's just fighting the other two most pleasurable activities I


actually have by the way is fighting and writing fighting just because that's


just being an animal I love doing that and writing is like writing code or


writing words so creating things but yeah jujitsu is a whole bunch of fun


been doing it for about two years take away like four months for kovat or maybe


18 months because you minus four months for kovat everything was locked down but


I'm really excited I was gonna do a competition and then kovat hit I'm gonna


keep doing that for a while so if you have you got a jujitsu gym new year get


into it it helps um just helps it's a whole bunch of fun great community good


challenge and plus you get to fight people and anyway let's go to Santiago


from email oh actually we've got a couple of questions here I tried to


group them so they're similar these two are about like computers for machine


learning I get a lot of questions about this actually and I'm afraid I'm


probably not the best person to answer but I'll give you my take on it anyway


so Santiago says that I use a MacBook Pro 16-inch yes I do and is basically


asking I used to train my models in the cloud anyways I do all of that too is


the MacBook Pro 16-inch the ideal computer for machine learning put it


this way there is no ideal computer for machine learning what it becomes is I


get a lot of these questions like which computer should I use and that's the


equivalent of asking which pen should I use to write the amazing book I'm going


to write now the real answer there is use whatever tools that you have access


to in Santiago's case he was going to spend most of his savings on a MacBook


Pro 16-inch do you need that 100% no I only bought this because it's good for


editing videos that's it if I wanted to do machine learning this is not a great


computer because Apple computers don't really you can't access CUDA libraries


on the GPU which kind of just throws out all of all of the deep learning


libraries like Pytorch and TensorFlow so my advice there is always for the


computer for whatever you're doing is buy the one that you can afford almost


doesn't matter what it is if you need like more compute power say a GPU use


Google Colab you can use Google Colab for for the first two years because


you'll probably be working on some foundational skills by the time you need


a bigger a bigger system than then Google Colab can offer it's going to


take you a while to get to that stage right you can also use Kaggle kernels so


yeah buy the computer that you can afford if you do need more compute power


use Google Colab if you do need even more compute power then you're probably


going to look into paid cloud providers and then from there Jithrenda asks


should I build my deep learning rig and use a low to mid-range laptop and and


rely on cloud GPU storage providers the same same answer goes for there should I


it's basically should I build my own deep learning rig or rely on GPU cloud


storage same answer goes for there unless you're racking up a whole bunch


of like cloud storage GPU bills there's a great article actually I want you to


search if we go here boom build deep learning there we go so just search


build deep learning PC you should come up with some article like this so how to


build the perfect deep learning computer and save thousands of dollars the


caveat here is yes you do save thousands of dollars but it costs you up front


like three grand to build and I think that's okay that's with the 1080 TI and


how much do you save anyway there's a series of articles here just search this


one by Jeff Chen and there's a few in here just read those and I'll tell you


how much you save but it's only you only start saving if you're spending a lot of


money on cloud servers already yeah here you go AWS look so unless you're spending


like $2,000 a month and I like I'm not gonna break this down maybe what I'm


quoting just just off first glance isn't the correct figures unless you're


spending like around that much well then you're not gonna you're not gonna be


saving in the long run so until you're doing large-scale experiments on the


cloud don't don't don't let what I'm trying to get at is don't let your


equipment hold you back from working on the the projects that you want to work


on there's ways to do these things it's actually I'd actually advise like it's


too too easy these days just to go I'll just throw more compute power out of it


that's that's also like a bit of lesson if we go have a have a look here the


bitter lesson that's kind of it's a great article read this the bitter


lesson the biggest lesson that can be read from 70 years of AI research is


that general methods that leverage computation are ultimately the most


effective and by a large margin so back when this story here is back when AI was


starting that would be like a lot of handcrafted algorithms and so this is


basically just saying that now neural networks and plus a whole bunch of


compute power are kind of the best method to do things if you also want to


keep building your deep learning PC read 10 debtors debt mers debt mers article so


a full hardware guide to deep learning so I'm actually in the process of


building my my own deep deep learning PC but if you're just getting started out


don't even worry about the the equipment just write more code and then until you


get to a point where you start to start to actually like you'll get to a point


where you know you just have to start worrying about like maybe I should have


my my own hardware and so let's go to the chat what do we got here I'm gonna


mark that question off boom boom and let's go to the chat holy gosh now I'm


not gonna be able to reply properly to all of these questions but I'll just


I'll just pick them so if I miss you that's my bad and where were we oh I


did yeah says how can a 15 year old get a data science internship this is a good


one and I think it actually doesn't matter what age you are not to me


how can a 15 year old get a data science internship what I'm gonna say is the


advice this is kind of general advice that's the kind of advice that I like to


is advice that um experience boom this advice are kind of being applied anywhere


look at that dude see look how awesome my mullet was don't worry I shed enough


tears myself and yes so this is this is my best advice for that start the job


before you have it so don't let anyone hold you back when in terms of any kind


of internship or any kind of job that you want it just start the job that


you'd like to have and now if you want a specific internship what you're gonna


have to do is do your research and apply directly now what I mean by directly is


a lot of companies will will post like job postings and whatnot but I like to


treat those as being dead so the way put it this way I posted a job the other day


for someone to do some work for me and I got an influx of like a hundred and ten


emails right and so you can imagine if a company posted like say an internship


position how many offers they would have there's just gonna be a lot right so the


way I like to think of these things is first of all start the job before you


have it and then go directly to the source and so what that means is find


the person you should be talking to don't just go through like some sort of


apply now button but really search and find the person you want to talk to that


may be through an email that may be through LinkedIn that may be through


Twitter something along those lines right and talk to them directly because


the issue that I had when I posted that job and was having too many offers and


all of them were were probably valid like valid candidates but when I just


went through it I just it was just like I wanted to give everyone a fair chance


but it was literally just too much for me to comprehend and so which one did I


did I latch on to I read I lashed on to the one that that kind of just stuck out


in my mind and maybe this person wasn't as good as another person I could have


probably found maybe found a better person who knows but I just lashed on to


the one that stuck out that was just that's just human bias we we have to


simplify everything there's no way we can take in all of the all of the things


that are going on around us and so first of all start the job before you have it


if you have some sort of internship that you want look up some places that you


enjoy there's some companies that spark your curiosity and maybe you figure out


what kind of projects that they work on and if you can't figure that out or


maybe you you reach out you talk to some people at that company and then you


start to build that relationship because at the end of the day who do people like


working with that's a quiz who do you like to work with my people you like to


spend time with so if you start to build that relationship first of all of course


you need the skills right so if you have the skills then your next step is to to


build a relationship with working working with someone and you can do that


by showcasing your skills to start the job before you have it and then reaching


out to the people or the companies that you would like to work for directly and


going hey is there any internships that you you you'd like to offer me oh that's


another thing just ask sometimes but yeah it doesn't really matter if you


have skills and you showcase your work that's what people are after we go here


where we at we're back to we're back to the notion document so it did yeah great


question and now let's go to Richard Richard sent me this one in an email


actually these two are these two are kind of related so my head is in the


wrong place here but you kind of get the point it's um I've read your articles a


lot and in fact your writings have inspired me to start writing on my own I


have written a couple of articles on data science and ML on medium that's


amazing so good to hear I love when people start writing my questions are


can you experience can you share your experience when you first started


writing what keeps you motivated in writing do you have any tips tips slash


suggestions for a new writer and then it did yeah has I mean sorry our event has


very similar questions starting my blog advice for starting my blog I'm an


introvert always kept my thoughts to myself can you tell me how you felt when


you started your blog when do people start reading your post how is your blog


useful while you're learning do you have good writing skills before starting your


blog and or you developed it after starting to write okay so basically it's


um what's it like when you first start writing when do people start reading


your shit and any tips or suggestions and did you have skills when you began


okay let's put it this way when I first started I actually have my my first blog


post I have a photo of it somewhere but it's in wonder if I can look it up


photos here we go boom I can actually show you this there so that's my first


blog post dear Daniel you finally did it aren't you glad you started today yours


truly your past self yada yada yada yada my first blog post thank you so that was


May 21 2016 so about four years ago just over four years and before that so


Aravind said did I have any writing experience and I mean of course I'd


written things before I'd had a lot of ideas I had a lot of thoughts I actually


wanted to think I thought for a while like I did want to start a blog and all


that sort of stuff or just just to create things that was the that was the


real catalyst not even like writing whatever like anything just to create


something rather than just sitting and scrolling all day I wanted to contribute


back and so when my writing skills I would say that my writing skills have


improved dramatically since when when I first started but that this again


another roadblock right people will always you will always try and hold


yourself back because you think you aren't ready and if you think you're a


you're a hundred percent ready well you've waited too long and so the best


way to build writing skills is to what


it's to write right it's to read read articles that you enjoy and then write


your own it's to read books and then books that you enjoy and then write your


own and now it's just like coding remember when you first started to learn


to code they're probably pretty bad at it you you had to look up documentation


all that sort of stuff the same thing with writing what writing is is it's


connecting connecting your thoughts in your head to putting it something on the


paper because at the end of the day I I was like Aravind I had a lot of thoughts


but a lot of them were just going to waste because they were just my own and


now that might not be to waste but if you do want to create something create


value for others while having these thoughts on your own well they just go


to waste when they just stay in your own head so one way to get them out there is


through written word and now Richard says can you share your own experience


when you first started writing I was really nervous when I was putting out my


first post in fact I actually want to feel that way every time I put out a


post so when I wrote it and then I clicked publish I was like wow who am I


to be putting these thoughts out into the world but I'm sure that's how


everyone feels that's how you listen to any artist or any creator they think


yeah you might hear there's some confidence like yeah just put it out


there and create whatever you want to create sure I have that too but it's


also I kind of it's a self-fulfilling prophecy I tell myself that story so


that I put that the work out there but I also have a small portion of me that


still goes you know what whenever I hit publish I'm biting my fingernails how's


this gonna go am I actually putting my own thoughts out there all right but


that's the exciting part about it in fact I don't want to read any writing


that someone didn't actually feel like that when they're when they click


publish and so what keeps me motivated writing it's probably the one activity I


wouldn't wouldn't stop doing so this is a real good way to sort of tell like what


you would want to do in life or what you kind of um rather than adding things


what you're interested in rather than adding new things that what you're


interested in one of the the best ways to to like figure out what you are


actually interested in is what would you miss say you had a day where you just


did nothing at all what activity do you think you would miss the most so for me


it would be writing or working out or just moving in general so fighting and


writing the two things I like but in other words I want to give you a little


tip of how I got started I built the habit of started writing starting


writing we go here 750 words boom this is actually really simple so there


there's today this is just if I go here hello world today I'm doing a live


stream say hello everyone right so I'd go to this website and I would just


write 750 words every day then you can build up a little streak I've like lost


my streak I was on a bit of a streak a while ago but yeah there we go training


is coming back baby boom but yeah a lot of this stuff is just me thinking through


thoughts and then because that's what writing will do it'll show you how poor


your thinking is once you try to put something in words and you try to


understand it's like how what you got to think about as well is well this is what


I'm thinking about is how is that message like if you're writing and it's


it's sounding confusing to you how do you expect someone else to interpret


what you're saying so that's what I spend a lot of time on is going okay if


I was to read this from a fresh mind it's a very hard thing to do I was to


read this from a fresh mind how would and I didn't know the things that I knew


how would that interpolate how would I interpolate that in my head same with


code like if you're writing code and it's very hard to to interpolate how do


you think you're gonna come back to that code in six months and go wow I'm not


even sure what I did here right and so there's another part to this question


it's uh do you have any tips or suggestions for a new writer like me to


write better and more impactful art audience so write the things this is


always my advice is write the things that you would like to read that's it


and then this kind of leads into the to the point our Vin said when people start


reading your post as I said I don't really track I used to I used to track


like how many people read my articles and how many people watch my videos I


mean you it's kind of impossible not to these days because like the numbers are


just there whenever you log in and you see all these notifications and you get


emails from like oh you your article got a hundred fans or whatever yeah cool


that's nice it's like a stroke to the ego but those things don't don't impress me


they may sure they may impress someone but those things don't I don't what I go


for is nothing excites me other than the things that I can create so as soon as I


post another an article the next thing that's going to incite excite me the


most is creating the next one same with with any project it's it's building it's


building the thing itself that excites me most of course there might be someone


who's gets motivated by numbers and sales and and views and all that sort of


stuff but that's I've just worked out over time trial and error that that


doesn't that doesn't that doesn't get me going so when do people start reading


your posts well I always had people reading my post because I would be the


one to read them but no more and more people started reading my post after my


writing got better and that was only after let's say a hundred articles so


that's your goal race to your first a hundred and then each time improve


improve your writing skills from there it's just a there's no secret trick to


it it's just just write the things you'd like to read and as as you start to go


through improve your skill of writing read back through it the art is really


in the edit so when you write out a rough draft it might be just full of


absolute gibberish but then you go back and you rewrite it you rewrite it again


and then you make it legible for someone else to read how is your blog useful to


you while you're learning it's probably the best thing I've done last five years


is creating a blog and again it's that switching from just consuming too much


to creating writing again is nature's form of showing you how poor your


thinking is and how did you decide on what you're gonna write is the same same


thing I just write things that now it's to the point it's only now after writing


for about four years that I have people asking me questions and so usually an


article will either be just something I've had on my mind and I just wanted


like to get it out of my head and just put it into written form and something


I would like to read or it's something that a fair few people have asked me


over and over again and I thought it's probably just better to put this in a


blog article and that way people can kind of find that and then I can just


link that article if if they want so if someone asked me a question I'll just


send them the article all right so back to the chat how we going here we rockin


and rollin is the pace all right and let me know so if we got here our event


we're gonna tick all these off now we're gonna go to the chat maybe we do like


how about we do a quick fire around I've been doing boxing as well lately so


again fighting and writing two are two of my favorite activities so here we go


and whoa


we got a lot here does Khan Academy calculus enough for understanding


machine learning algorithms it yes so so maybe Khan Academy is not the one


perfect resource for you but if you go through that calculus I mean that's the


beautiful thing about math right is like my math is the same for your math what


what's rather than the resource itself find a teacher that you understand so


that's a lot of what I had this realization like the other day is a lot


of education is actually just getting a teacher who's going to excite you about


a problem because at the end of the day most of learning is self teaching so the


teacher has to spark your that's probably one of the main goals of a


cheap teacher is to spark your curiosity in something and then it's up


to you to fill that gap of learning the new things so to do this kind of academy


calculus enough for understanding machine learning algorithms so machine


learning algorithms have a fair few more parts than just calculus well actually


it's really just like calculus and linear algebra but yeah so I go go


through the calculus on Khan Academy and linear algebra and then just start


applying it to where where you are where you need it because at the end of the


day going through course material is kind of again that foundational


knowledge but it won't become cemented in your brain until you actually use it


someone can't hear anything


can you all hear me


and there's some good courses for ML engineering or data engineering what


would you recommend so I probably probably start with oh we just answered


that this is a quick fire round by the way so Jow can my keyboard do it can't


do that little fancy a so Jow says there's some good courses for MLE MLE or


dice data engineering that you'd recommend so I would go course dot full


stack deep learning this is probably boom training and debugging there we go


I'll probably check out this one full stack deep learning the data engineering


and men machine learning engineering will kind of be different depending on


what platform you go to so I check out this Google I think Google machine


learning engineering certification Google I think just just actually released


this one certification again we had a rant about certifications before but the


thing you can do is just reverse engineer the criteria for what the


certification requires and then just go and learn that without actually doing


their certification but again it's kind of hard to hear real-world experience


what's what's in it they're professional machine learning engineer ML problem


framing it's kind of hard to learn like ML engineering without having something


to work on because otherwise you're just setting up like just dummy pipelines


and all that sort of stuff so the best way is to I would say go through


something like this full stack deep learning and then integrate it into


your own project because then you're going to this will set the foundations


and then you'll you'll build up your own knowledge through working on your own


project but yeah this is this is kind of the things that like a machine learning


engineer will do pipeline automation and orchestration yeah but again this is


this is pretty full-on like they're like this kind of criteria so better off to


to not just go through this right and just learn each of these on their own is


to see how they piece together in some sort of project so maybe you look up


something like this to see what an ML engineer actually does and then and


build your own knowledge through self teaching so that's kind of my approach


to things and we come back to the chat


Jal thank you thank you thank you Anna says can you please explain how ML


models are connected with website or how back-end is connected with ML models


okay beautiful so there's a fair few ways to do this one is you can so this


is deploying machine learning models so one is where's the whiteboard here we go


right how do I draw on this draw so one is this is deploying ML models we have a


model that can be model now this is option one okay one so you can put your


model into this is a cloud into a cloud we'll put that for C and then you can


have your application over here application right now there's a lot of


tools that you can do this but let's say this is Google Cloud this is your


machine learning model this is your application and so one way is to have


all of your application stuff in here so like the website itself like it could be


this this could be your website right and then every time I write something


here so I'm going to write a story hey I went to BJJ this morning and felt very


happy afterwards okay so the machine learning part of this could be that


every time this application every time I type into that this application sends my


text to this machine learning model which is hosted in the cloud Google


Cloud and then it's going to pass in all of my text to my machine learning model


and it's going to send back something like the sentiment score of this which


sentiment is a measure of like how good a feeling the writing is so the


sentiment score is 97 right so if I spent if I kept writing on here maybe it


goes there's a little box that appears here and says sentiment score 97 and


then if I I go maybe here I've got stuck on a code bug yesterday and it felt sad


so then it could do the same thing again send that text up to the cloud then the


machine learning model will return a value maybe the sentiment score now is


not 97 it goes down to Wow trying to draw with a trackpad it goes down to 90


right so that's one way this is an API ml API now you could do that with


something like Google Cloud AI platform now you don't have to deal with Google


Cloud I just have experience with Google Cloud so that's why I'm using it so


there you go take your machine loaders models to production prepare build and


run manage kubeflow pipelines etc etc AI hub then there you go so this is it


deployment end-to-end cycle ingest data prepare so this is what we basically


drew out a very simple version of this Google should hire me to draw their


their arm wow I can't even scroll there okay so ingest data so this is where our


app comes in our app sends text data to the cloud and our machine learning model


maybe in here there's a few more steps to prepare it process it don't worry


about discover test and analyze so that's what this we've done the


deployment part here so ingest data which is here sucks up data and then a


machine learning model works on it so it tests and analyzes it and it's already


deployed so then it sends something back so check out something like this


Google's AI platform AWS have an offering as you have an offering then


option two for deploying a machine learning model so let's come over here


that's option one so this is two again there's probably many more ways but


these are just the two main ones is to have your app here app and include the


ML model here ML inside the app now what is the benefit of this I want you to


think about this why why wouldn't you just host it on Google Cloud and have


have your app query query the cloud every time some text went in I mean I'm


already on the internet here so why wouldn't I just just put it the machine


learning model in the cloud well it's because what if your device doesn't have


that much internet connection so if I've got I've got my phone here don't worry


it's on airplane mode so if I've got my phone here and I'm say driving along and


what's an app that use a machine learning hmm I'm saying I'm saving the


grocery store and I'm trying to scan different foods I'd like to see to see


what new what foods are in there so let's put it here let's draw an apple so


this is an apple and I want my phone to scan that right if I'm in the grocery


store and I don't have a very good internet connection how can I send the


data from this to the cloud it's just going to be it's not going to be a very


good experience but if my machine learning model is on the app right then


it can just go you know what I'm gonna find the patterns here send that send


the photo of the Apple to that machine learning model runs on the device and


then it shoots it back well it'll display some information on the app and


so again that's a very high level overview of how you can deploy but the


two the things here to remember is you can either bundle it with the


application itself or you can run a machine learning model as an API on on


some sort of cloud server so they're the two main ways and you got a the one for


you it'll be you thinking about how how you want your users to use whatever


you're building so in Tesla's case like they're building a self-driving car all


their models probably run on the car I don't actually know exactly how they run


but I'm assuming for inference you need it to be as fast as possible so it's got


no time to go to the cloud I'm sure there's really some component that they


sent to the cloud but for like the self-driving car itself it probably has


to be as fast as possible so it has to be bundled with the app itself and so


again there's many different ways that you can do these things for example the


last way that I did it for one of my Airbnb projects is I used Docker put my


let's actually get that graph up get herb where we got mr. D Burke I'll show


you


keynote this is just one example right and this is what I worked on for this


project there we go so to serve the model I built an application on my


computer and then can you see that right wrapped it all in Docker so made sure the


machine learning model worked on on my computer so I could access it in the


so docker is like this I don't actually know how you would describe it but it


just the way I think of docker is it just say you have some code here that


runs on your machine docker builds a little container around that code and


then you can put that code somewhere else and the guarantee or the kind of


selling point of docker is that if I wrap that up in a docker container and


then give it to your computer it will run and so that's what I did I wrapped up


my working code on my local machine put it on to Google Cloud through App Engine


and then whenever someone accessed that that browser through App Engine it was


just running the exact same code that I had working on my local machine that's


just one way to do it one way to do it in that case the model was part of the


application itself okay so look how good those drawings are and where we are we


got a lot of questions in the chat I'm guessing so we go here and our ML models


are connected with website or how backend is connected with ML models


we'll go Robert here and then we'll go back to the chat so Robert says how did


you hook up with Andre so if you don't know who Andre is we teach a machine


learning course zero to mastery ML course debug link slash ML course this


is this is where I teach machine learning Andre teaches the Python parts


so Andre teaches that and then I teach this anyway that's just who Andre is


amazing dude well actually never met him so shout out to Andre I was gonna travel


he lives in Canada I live in Australia I was gonna travel but of course COVID


happened how did you hook up with Andre was the process of like working with him


what have you learned with him I've assumed he has a lot of input to the


structure and teaching methods of the course I did the intro to Python section


and I think he taught it really well oh there you go that's awesome


and the masters of mechanical engineering currently doing a business


master so I have some experience with learning methods and I think the ability


to self learn is the most important skill I I agree with that boom how did I


meet up with Andre so I wrote an article 12 things I learned 12 things there we


go I have to search my own articles so this is the article I wrote when I left


my job so I left my job just over a year ago as a machine learning engineer like


my employed job so that's the article look it's in that room but they're the


same room and same hoodie haha let's say you tell the true hacker if he's got an


old raggy hoodie this is not really raggy it's probably only a few years old


but still same hoodie rep in it so I wrote that article and then Andre read


it it kind of went like viral but again I didn't write it to think like I just


wanted to assimilate like accumulate the things that I'd learned I didn't know


that it would go viral like these are things you can't pick so I just wanted


to accumulate the things that I learned actually working on the job and so and


Andre read that and said hey I'm building a machine learning course I


just see you left your job do you want to help me out do the machine learning


part and I'm like well sure I'm no longer have a job anymore I need to


first of all build some kind of way to get an income so that I can fund my next


projects and so that's a beautiful idea I'll build this machine learning course


with you and then I spent we spent the next few months working together and it


turned out that we created a pretty damn good course so that's how I met Andre


he just read that article sent me an email and that's it you also had another


question Robert that says and I go back to here then I've been looking at


machine learning jobs honor you know been looking at machine learning jobs


I'm not sure if I want to do this a career path path but certainly it sounds


interesting can you see that maybe this whole time I've just been hiding things


from you do you think the best way to get a machine learning data science job


and an established company or startup is to create your own portfolio of


successful work yes I'm just gonna say yes


like that's it really what's someone doing when they hire you for like some


sort of role they want to know do you have the skill to be able to work on the


problems that they're working on and so if you can showcase the key point here


is your own portfolio boom how do I highlight this in notion that's what


what's anyone hiring anyone for and so that they can do they can do work


without necessarily someone having to like hold their hand and say this is


this is what you have to do at this step right there the projects you work on if


you think that you're going to get into some sort of job and like have to know


everything off by heart and and like you see these these like demo interviews of


like someone solving like this massive algorithm equation problem whatever on


a whiteboard yeah sure maybe there's some interviews like that but do you


think that's got what you're going to be doing day to day you're gonna be reading


through documentation a lot of the tooling you're probably gonna have to


get familiar with is with a lot of big companies I'll have a lot of internal


tools so a lot of the onboarding is just learning those internal tools how they


work and all that sort of stuff you're gonna be looking up like reading reading


research papers seeing if you can implement new ways of doing things it's


gonna be a lot of learning on the job so what they're what what a this is what


and I can only talk about what I would look for what I would look for if I was


hiring someone is have you worked on these sort of things yourself that's it


that's really it so yes the answer to to Robert's question is uh should I create


my own portfolio of successful work that you can talk through with people and


use to demonstrate that you have the ability to do a project from start to


finish yes all right so we got we're gonna go one to the chat or probably two


two for the chat and here we go here


there's so much going on here then notion up here a shake I'm gonna get to


your question next so we go to the chat someone says what is my view about


tensorflow certification I did it but it's a nice to have not a need to have


and we're going for a quick fire round hey hi Daniel I'm a junior data engineer


about to finish my master's thesis computing engineering with AI is that


enough to apply for ML engineer roles yep couple that with some of your own


projects how can we in handle imbalanced data set or the best way for that there's


a lot of different ways you can do smoke you can do data augmentation like if you


if you just googled that exact question you'd find a plethora of different ways


but there is no like best way that's the beautiful thing about machine learning as


well is that like this is no of course there's like state-of-the-art and all


that sort of stuff but depending on what problem you're working on there is often


like many different ways you could approach it and the best way is often


undiscovered yet and pre-yank says right how to build a deep learning inspired


startup from an open source project from Google AI blogs there is some amazing


research and then some of them are reopensourced how to build an open a


deep learning startup from an open source project well that would be almost


any deep learning startup right now because like tensor flows open source


Pytorch is open source fast AI is open source so I mean like if you're using


deep learning you're probably using one of them and so it's just just figure out


don't worry about like Google's gonna release a whole bunch of of new new


things which are all amazing I'm not I'm not degrading from any of them I


actually read a blog post the other day of my favorite one was I think it's


tensor flow cloud is the newest one that's actually really cool so you think


about it like this I'll get to that question from pre-yank in a second so


tensor flow cloud I think there was a blog article about it no that's not it


was a tensor flow blog here tensor flow cloud actually really like this one so


basically you can just have a model here and then you can just import the


tensor flow cloud what's it called package or framework or whatever doesn't


really matter and you can set off a big experiment to run on Google Cloud with


like eight lines of code or whatever so see there CPU calls memory 30 gigabytes


you want to use an Nvidia Tesla t4 GPU and you want to use two of them so


imagine it like this right you're running experiments locally on your


machine and you're getting them to work but then you want to start to upscale


them well then you could use tensor flow cloud to go you know what I'm just gonna


to run this experiment for half an hour on 16 GPUs again that'll probably cost


you some money but you just want to see how like if I did want to scale this up


and and go for it train it for a long time this model well you can do it just


with pure code pretty damn quickly so imagine that imagine how quickly that's


what machine learning is all about is how how quickly can you can you test


your current hypothesis how quickly can you figure out what doesn't work so that


you can try the next thing so this is a cool way to to really quickly upscale


your models but again if you're first if you're just beginning it's unlikely that


you'll need this sort of stuff because I'm starting to get into point where I


want to train some large models this is exciting to me I haven't yet used it


you know though and so the actual question was how to build a deep


learning inspired startup from an open source project well the the best way to


do it is just to have a problem that you're working on and then just use open


source tools there you go that's your that's your startup there's no secret


source to this like if you were you could use tensor flow you could use pi


torch you could use any of the open source deep learning tools and then the


way to do it is to solve someone's problem that I have that's your that's


that's that's your deep learning startup and then if you want to turn it into an


actual business get them to pay you for it that's a that's what a business is a


business you have a business once you have a customer paying for whatever


you're selling that's it not before not after not when you get funding and all


that sort of crap it's when you have a paying customer all right where we at


we got a chic my boy a chic how are you brother okay so there's a few questions


here and if you are up to start ml now what would be the optimal way to do it


like tools you will learn and clue behind the process views on fast AI


vs. TensorFlow what would be the tool you recommend for people starting deep


learning now how about GPT-3 and its impact a quick heads up about


intermittent fasting full stack deep learning how to do okay so let's do


another like quick fire round here if I was starting ml now I would so again I


got caught up in the whole idea of doing more courses than actually


building shit so instead of just having courses coming out my ass and and just


always looking for the next course because he's the thing about learning we


spoke about this run at the start is that learning is fun don't get me wrong


but it's very easy just to go on to like trying to do the next course rather than


putting what you've learned into practice that's the easy step because all


you're doing then is you're getting you're getting good at you're building


the skill are you trying to build the skill of completing more courses or


build the skill of building actual things right and so once you've done a


few courses you can get pretty good at finishing courses so I'm not taking away


from courses I'm just saying how I would change things I actually sell a course


so there you go take it you don't even have to do mine all the things that you


need to learn are like free you could just go through all the tutorials of


Python see the benefit of course is someone has compressed the the amount of


knowledge that is out there into a way that is understandable for you to learn


that's the benefit of them so use them to build foundational skills I'll say


this till I go horse but then I would start working on my own things so I


would probably try and even it out for every like month I spent working through


a course I would then immediately start to put what I try to learn into practice


for a month so I'd go 50-50 instead when I was starting to learn things out it


was it was I was just excited about the shiny new thing just completely just


whatever came out whatever was new I had to learn the new framework I had to


learn the new this I had to learn the new that I had to read the new blog post


no it's better to to build the foundational skills so you can work on


building things that warrant releasing one of those new tools or warrant


releasing one of those new blog posts so yeah even I'd even out my time from


consuming because that's what a course is a course is consuming right you're


consuming information from someone else I'd even it out with creating so yeah I


would work I would spend more time figuring out how to figure things out on


my own that's how I go about starting learning again and building things of


course so that's where it comes into full stack machine learning and once


your views on fast AI versus flow fast AI is very approachable I haven't used


fast AI to tensor flows probably it has a bigger ecosystem for for like like


full full scale machine learning apps that being said I haven't used fast AI


in a while I actually worked on a project in my machine learning role


where we used fast AI for a natural language processing project and it the


model that it sped it out was was absolutely phenomenal and it was because


fast AI is built on Pytorch it was built in Pytorch we deployed it as an API and


it worked amazingly so I love fast AI I love tensor flow I love Pytorch I love


them all right but at the end of the day it comes down to none none is really


better than the other it's only what what can you use to solve the problem


that you're working on maybe fast AI has some features to really quickly get a


get a 95% the best model that you can get and that's what you really need


because you're just going to you're just going to deploy your model into some


sort of API for your proof of concept right you're going to build this you're


going to build that maybe you just need a really pretty good model probably not


the best in the world but just something that works so you can showcase what


you're building to someone else in that case I probably go fast AI or transfer


learning or something like that full stack deep learning course how can you


do it I don't see any other better way than just doing it and then putting what


you've learned into practice and then about GPT-3 and what will be its impact


oh I'm actually really excited about GPT-3 I read the whole paper the other


day and it's pretty big paper it's like 40 pages long and you've seen the


results haven't you like what what some people are putting out there with GPT-3


like I think in the paper there was that one stat where it was like 50 52% or


something with the biggest GPT-2 model that is so you have the biggest GPT-2


GP I'm getting my acronyms messed up so you have the biggest GPT-3 model which


was like 175 billion parameters you get it to generate a 500 word article and


then you you get a group of people to see if they can differentiate between


what was a GPT-3 article and what was an article written by a person and so


what's the scores from there it was 52% I only 52% correct so you know binary


classification that's that's the problem it was what's what's guessing in a


binary classification problem what's guessing 50% so you're telling me that


an article like it was and it was 52% correct right so it's basically like the


people were guessing almost whether the article was written by GPT-3 or an


actual person so I think that is that is mind-blowing I'm also excited I think


it's see the thing is with generative models that's what GPT-3 is right it's a


generative language model I I see it this is where I'm really excited about


like the future of like creating and making things is I see GPT-3 as like a


musical instrument and so you've seen you might have seen the open AI API


let's have a look at it I've got I sent out a whole bunch of stuff in my own


newsletter about this actually but let's see this so where's the actual demo where


you can just get it to write stuff


anyway it doesn't really matter but put it this way I see it as GPT-3 it's like


a musical instrument where you can you can actually learn what are the right


things to how do you get GPT-3 to create the thing that you wanted to create so


as in if you wanted it to write say a tutorial on Python code how would you


feed it the correct inputs so that it generates the right output so imagine


this is like you're learning to play piano and you want to play this


beautiful symphony of course you need to learn like the foundational keys which


one to press and etc etc then you have to learn which key goes with which other


key and I don't play piano so I might be saying the wrong things but you imagine


if you put them in this in a certain order they sound great but if you put


them in like the wrong order they don't sound very good so this is what I'm


imagining with GPT-3 is that you could treat it like it's it's a piano you


could learn to play it and you could feed it the certain sort of inputs and


maybe it doesn't give you the right outputs but then you could you could


start to improve your skill like say after piano after four hours you're not


very good but after a hundred hours of playing piano you're pretty good at like


putting together notes that sound pretty good to each other or with each other


the same thing could go with these generative models that are that have


been built is that when you first start playing around with GPT-3 you're not


quite sure of like what sort of inputs it's going to produce what sort of


outputs it's going to produce from the inputs that you give it but after a


while with some practice you go okay well I know if I if I put this certain


input here and then I put that certain input there GPT-3 is going to kind of


maybe put out this sort of output so I see it as like a musical instrument


that's what I'm most excited for and so maybe I can learn to play a musical


instrument or a language model so I'm into writing right I like writing books


maybe I could write a book with GPT-3 one chapter could be a chapter written


by me then another chapter could be written by GPT-3 you heard that idea


first by the way that was my idea first now I don't care you can steal that if


you want that'll be pretty cool and then you don't tell the reader which is which


they just read this whole book as if it's written by a person but it's half


and half okay where we at


come back boom let's tick off these great questions of chic I really


appreciate it and so now we're going to go probably a rapid-fire round just to


just to finish off these these questions in Notion just to to be nice to everyone


that was leaving a question thank you so much by the way and then we'll probably


go to the chat maybe a couple more after that and then go for that and Moritz


says some questions for an interview come to mind how did you make sure you


have a fast feedback loop with learning machine learning this is going to be


different for everyone you just have to see my way of doing it was when I when I


like I have time-based goals so I know I'm putting in effort if I can do like


four to six hours of study or work a day after that I'm pretty capped out so


some days I do more some days to do less so my fast feedback loop is am I am I


challenging myself enough and am I putting in enough time on things that


are difficult so that's it that's my fast feedback loop and a time-based one


is kind of easier to manage than an actual goal-based one because you just


the progress that you do is going to disappoint you in the short term but


over the long term if you actually put in the effort put in the hours reflect


on your work etc etc then you're probably gonna surprise yourself in the


long run and what was your goal you started your learning journey truth be


told I wanted to work for a big tech company and then I realized I didn't


want to really work for a big tech company how did you structure your


learning process when I first got started I used Trello and do I have


Trello here Trello login I'm gonna have to log in anyway if you search up


Daniel Burke AI masters degree you'll you'll find it there and and it was just


like it's like a Kanban board so I just moved something from doing from not done


to doing to done so if you look that up look up Daniel Burke AI masters degree


and our Kanban system and that's a system I used it worked for me might not


work for you but it's pretty simple and math first first application first


verse both at the same time both at the same time because another day machine


learning is math right it's it's like you do the dot product and you've got a


whole bunch of additions a whole bunch of multiplications and then you do a


little bit of calculus and there's your machine learning so yeah if you're gonna


be working on applications you're gonna be trying to improve the things you're


working on you're gonna eventually have to read some papers papers have a lot of


math so just learn both at the same time depends on what you need right Vishnu


says how do you wake up 5 a.m. every day I don't anymore I went for a little


spurt of like waking up at 5 a.m. every day now I just wake up whenever I need


to wake up because it's it's winter and so it's like cold and so yeah some days


I sleep in some days I like sleeping is like 730 or 8 8 ish for me most days I'm


up at like 7 and then like this morning I was up at 530 and train jiu-jitsu at 6


a.m. so yeah I just sleep is paramount right sleep is the force multiplier of


life so I just sleep as long as I need if I sleep I feel better when I'm awake


how do you deal with the afternoon slump I either have an afternoon nap I go for


a walk or just chill out and do something easy for for the afternoon


slump I usually get away with with avoiding the afternoon slump if I'm


eating really well which is most of the time or if I don't eat too much or


whatever like at lunch so I fast like I fast basically every day outside of the


hours of 12 till 8 so I usually have lunch at 12 and then eat at like 730 at


night after training and that's that's the only times I eat during the day and


but yeah deal with the afternoon slump just have a nap chill out go for a walk


or do something easy and SB dev says on discord and it's important to take on


personal projects to showcase to employers and I think we've answered


that enough throughout this this stream so I'm gonna ask everyone here is it


is it important to work on your own projects I'll let you answer that one so


let's uh so thank you so much guys for that questions I really really


appreciate it I hope you guys have had fun so far through this stream and I'm


sorry I haven't hit the chat enough but let's go here and all right I'm probably


gonna go what should we call it two two questions from here and then we're gonna


wrap it up because it's hit about that'll probably take us to that hour and


20 mark okay my here says help me get a narrative bro I've done my graduation in


CS I'm wanting to start into data science be a long learning dive but I


got to earn it now because it's just me and my mom and my dear I've got nothing


like no matter what I say it's it's on you so I could say the most amazing


advice in the world but at the end of the day if you want to get up something


is on you don't let me don't let anyone else be a roadblock and part of being a


roadblock is also waiting for the perfect device from someone so I've been


caught in that too so the end of the day if you want to learn something if you


want to build something no one's gonna want anything that that you want as much


as you so that's what I remind myself on if I want to learn something if I'm


curious enough I want to build something while it's on me we haven't done enough


dancing by this stream by the way I promised there would be dancing anyway


and Akash says hey Daniel nice to see you in the live stream great to see you


too Akash and my question is is knowledge in tensor calculus needed for


deep learning model deploy development and deployment well machine learning


models are basically tensor or deep learning models basically a whole bunch


of tensor calculus under the hood you don't need to know that to be able to


build a model and then deploy it but at least having some inkling of how it


works is is probably pretty good but yeah you can you can write and deploy a


machine learning model and just pure Python code without knowing anything


that goes on under the hood what I always say with this is that it's it's


hard to know how much you need to know so if you're stuck on a problem and you


think that well maybe if I knew more of the underlying math of this is it'll


help me move forward well then it's probably a time to learn that so we got


here and mr. seeker says will your machine learning course be enough to


get in a job in machine learning field no so a lot of people might not even


tell you this like if they're selling you a course so my course will help you


build foundational skills will it be 100% enough to help you get a job maybe


maybe not what I would prefer you did was do the parts of my course which


helps you learn enough to get started working on your own projects and then


use your own projects as your foot in the door right because a lot of people


can just you can just like you can just burn through the lectures of my course


and get the certificate at the end without actually learning anything so


what I would prefer is someone with my course is to not even finish it just to


go through enough to go oh you know what I'm pretty that's what I wanted it to be


I wanted it to be a momentum builder a momentum builder for someone to start


working on their own things that's why we work through three end-to-end


projects so I would prefer is someone to like do the parts of my course you could


even do like I'm not saying like this is pretty dishonest like if you if you are


if you have this kind of ethics but you could even get my course as a 30-day


refund on on you to me or zero to mastery where it is and you could do it


for three and a half weeks get the refund and just go well I've learned


these foundational skills now I'm gonna go make something like I would almost


prefer don't get the refund right because I need that money to know I'm


kidding do what you want but any course including mine is for foundational


skills use it for that and then build on top I think I've said this about ten


times in this stream use a course for foundational skills including mine and


then learn specific skills the skills that can't be taught by working on your


own projects because all the projects that you work through in courses