We taught the computer what the samples look like. Now it finds similar ones. Machine learning, baby. I didn't say that last sentence, but I should have. Professionalism got the best of me.


Reading the first 42 pages of my first novel (Charlie Walks) out loud

Chris kept going. That sounds much simpler than our way. Ours has about 50 handcrafted rules. Someone went through and found them on their own. It took weeks, he said.


Lizzie spoke. Okay, well, I don't think Rob and Charlie knew about what we could do already, but it sounds like they figured it out themselves.


I knew we'd made good progress, but I still felt the pressure. Showing your work, like, feels like bearing a little bit of your soul, like getting naked in front of someone you like for the first time.


But it has to be done. That's how business works. Don't feel the pressure, Charlie. Play with it.


Rob and I know what to do next, I said. We didn't really, but we would figure it out. Sometimes you had to talk things into existence.


We'll get to the next 20%, but as you know, they're much harder than the rest, I said. What I really should have told them was it wasn't a computer problem. It was a data problem.


When there isn't enough information about something, it's hard for anyone to learn about it, including a computer. The inverse is also true. Too much information and you drown.


Rob and I had spent a week reinventing what they'd already done. The reason? Communication. A lack of it. Always.


We scheduled another meeting for two weeks. Two weeks time to teach our computers how to read the other 20%, and pretend statistics didn't apply to us.


Lizzie let us out, closed the door, showed us down the hallway, to the left, through the aisle, into the lift, I scanned my tag, Rob hit the button, through the fire doors, two of them, down the hallway, past the lift, not in it, Sandy's office.


Saw her looking at her computer, waved hello, then our desks were third on the right.


And that is the first 42 pages of Charlie Walks. The end of chapter 16. So, if you've listened all the way up to this part, you'll probably enjoy the rest of the book a lot more.


It goes up to 42 chapters. So another 150 pages or so. I think there's 200 pages in total. Let's close this off.


Of course, that was one and done. I'm pretty stoked with that. That was very fun. So, leave a comment below, what you enjoyed.


If you'd like to contact me about the book at all, and hear more, my email is danielatmrdberk.com.


Otherwise, you can go to charliewalks.com and you will find everything to do with the book there.


So, yeah, I'm very excited. This is my first novel, my first book, my first proper book.


It's been a couple of years in the making and it's ready to go. So, check out charliewalks.com.


Thank you for listening and as always, keep learning, keep creating, keep reading, keep writing, keep dancing and I'll see you next time.


Building a business from a bedroom | Ask me anything! (live)

Ready to go, let's test it out. Boom! We're going live! We're going live!


Oh how exciting! Here we are, are we on? We're fish on? Give me some, give me some


information in the chat if we are live because I would love to know. It's a


Saturday morning, very excited. We have to start off these streams as always.


Remember last time we got cut off, YouTube kicked us off, I'm not sure why.


But, oh by the way, if you can hear me or see me, put a thumb up in the chat so I


know that everything's going. What we're going to do is I'm going to be here


answering your questions. I've got a whole bunch backed up, ready to go. I'm


going to answer the questions that I have backed up. I'm also going to answer


the questions that you ask live. So, let's see if this chat comes up. Are we live?


I've got a little loading bar here, excellent connection. How do I get my


feed into... hmm... yes we're live, we're on, it's coming in. B-E-A-utiful. Show us your


ads please. Oh Christ, no. I've got plenty of videos that you can see there. How are we


going everyone? Where are you from in the world? I am from, I'm coming at you live


from Brisbane, Australia. So, it's very nice to see you all. I really appreciate


you showing up. If you have any questions about anything, about machine learning,


about life, about health, about business, that's where most of my time goes at the


moment. Leave them in the chat and I will get to as many as I can. And don't worry,


if you can't make it to the live stream, the video is going to live


on this channel. My dog's just decided... there must be someone walking past. My dog's


just decided to go crazy. Matthew says, hello, how are you? Matthew, nice to meet you.


Mate, I'm amazing. Actually, Matthew, I've spoken with you before. Good to see you here, man.


Asharn says, hello. Wu says, nice. Giro says, cheers from Brazil. From Brazil?


That's so amazing. Asharn says, you're fine, that's great. From Venezuela, so


great to see you all. If you're new to the channel, we have so many... it's


gone crazy over the last couple of weeks. So, first of all, welcome if you're new


and if you've been here before, welcome back. You know the drill of what we do. We


have fun in these live streams, right? First things first, I need to make sure I


put this water over here, so when I get really outlandish with the hand gestures,


I'm not knocking it over. But what I've been up to... well, this morning,


I went for a little workout. It was a sunrise session. The sun, it's getting


close to winter where I live, so the sun is coming up at about 6.30 in the


morning. So, I get up around... I've been getting up pretty early lately because I


go to bed early and we'll get more into this in the stream. Someone asked what


my daily routine is. I don't really have one, but I did a little workout, went for


a little swim, so I'm feeling good. I'm feeling pumped up. Are you pumped up? I am.


So, what are we gonna do? Sheik's here. Sheik, what's happening, brother?


A new brother says, from the Netherlands, Italy, Mexico. Here we go.


A Lamo says, what's my current business? Well, we can talk about that through the


stream. Anyway, let's get started. I'm gonna make sure... can you see this? I


want to make sure you can see my stream, my screen. So, if I put the notion up


here... just wait, just give me a second. I'm getting this set up. If I change this


to be over here... no, over here. And then I want to put this bad boy, the stream


over there. I'm reorganizing my screen. I probably should have had this


organized before I started the live stream. That would have been smart, wouldn't it, Daniel?


And then I'm going to change it to screen and G85. Will this work?


Prepare for breakdown. Oh, can you see that? Yes, but I want to change the


display to be display one. Boom. Little meta here, but that's alright. That is


alright. Can you see me? If I put this like this, can you see me? I'm gonna watch


myself over here on the live thing, because what I want... there we go, I think


that's working. Okay, beautiful. So, what am I using to stream? I'm using Streamlabs,


as you can probably see here. So, what we're going to do is I've got these


questions here. And so, what I'm going to do, I'm going to go through these


questions as many as I can, and I'm also going to try and answer as many as I can


in the chat. So, that's probably how we're going to go. Maybe we'll go


one question on the Notion, and then one question on the live chat.


Alrighty, so let's get started. Jay, good to see you. Asheek says he's present.


Good to see you too. Alright, let's get started. First question, Nasserullah


from YouTube says, what will the coming changes in the next six months from now


with regards to opportunity in data science? How do you see money and its


impact in the world? I've thought this before, if we make money from one month,


needs no money, how's a human being will function? My grandparents, even my parents,


oh my goodness, always told me the real asset is earth and what you grow in it.


That's so true, yes. None of what we can do would exist without the earth. With so


much job getting fired, do you see job versus self-employed? You know, don't you,


when I'm starting my job along with my friends, we all used to think high to


achieve something. Now almost all my friends are in fear of losing job. Oh,


yes, that is a lot of that is happening. We are taking automation. Is it


towards human slavery where instead of thinking of growing people are scared,


think fear and surviving, in fear of surviving? Whoa, that is a very heavy


hitting question. Let me go back to the full screen. Now, I'm going to be straight


up with you. With all of these questions in the live stream, what you have to


understand is all the answers I give are going to be biased by my experience of


the world and if I don't know something, I will tell you. So that's a very, I


respect anyone who has the guts to tell someone that they don't know something.


That's a very important point. If you don't know something, just say it.


Because then you can learn it. Now, let's roll up, hit on a fair few points


there. Will there be coming changes in the next six months? Well, one thing for


certain in life is that there will always be changes. And now, how do you


see money and its impact in the world? Well, for my case, it's going to be


an individual case-by-case basis. For my case, I have my major needs for money,


a shelter, bills and food and having enough to create the things I want to


create. So that is my responsibility to somehow generate that amount of money.


And you know what? I just noticed that the microphone I'm using is on my camera.


Let me try to plug this bad boy in. This might upgrade the audio. If I put that in,


can you still hear me? Oh, we've got a little camera array now. Let me know.


If you can still hear me, put a thumb up in the chat. That'd be really helpful.


And so, now I'm not entirely sure of what the specific question is here.


But one thing's for sure, what you can put going forward. Yes, the world is going


through a lot of changes. But truth be told, no one really knows what is going


to happen. So that means whenever you're in times of uncertainty,


you have to go back to first principles. And what is that? Well, what is society


going to need going forward? They are always going to need people with certain


skills. Now, it is up to you to figure out where your skills align with the needs of


society. Now, whether that be in the field of data science, whether that be in the


field of software engineering, whether that be in the field of teaching.


What's happened in the last couple of months is that the world has separated


themselves from being essential workers and non-essential workers. But in my eyes,


everyone is an essential worker. It's just everyone, it's just whatever


happens during certain times, it's like the tide. The people at


the moment in a time of a health crisis, of course, people in the health field are


needed with a greater necessity than people in other fields.


But then it's also going to change, right? So these things of separating,


I think it's actually not a very good idea to separate people into


essential and non-essential. Because when you tell someone that they're non-


essential, whatever they do, that's a very degrading term. You should never


tell anyone that they're non-essential. You should instead give them the


encouragement and give them the purpose to either, if their opinion of


themselves is that they're non-essential, you should give them the energy to


become aware that they have the ability to become essential and that


they always are. Because at the end of the day, whenever you


degrade someone, you're really degrading yourself. So back to the point,


if you're in fear of losing your job, well it's up to you, it's your


responsibility, it's your responsibility to take on the opportunity to figure out


what skills you will need going forward to not lose your job or to potentially


get another job. So that's a bit of an answer to Nisrul's question. Let's


go back to the live stream. Hello all, it's so good to see you. Abhay says hello


Daniel. The audio is clear, beautiful, excellent. Sean says hello. Hey Sean, once


again thank you all for coming here, I really really appreciate it. We'll


probably go for at least an hour or so, as long as I can do it. And alright,


Faras says, this is a question from YouTube. Faras says, hey Daniel, I'd love


to learn ML and AI for robotics, but I've only just learned linear algebra,


statistics, calculus 2 and CAD. How would you suggest me to start learning ML?


Should I learn whilst doing a side project on robotics? Yes. For me to apply


new lessons or should I focus from learning from a specific curriculum


first? And so what the real question here is from Faras is, he wants to get


into ML, it's robotics, machine learning and AI for robotics. Should I learn first


while doing a side project or should I focus on learning from a curriculum? Now


I'm gonna say this to you as someone who makes an income from selling a machine


learning curriculum, side projects are better. So of course, use courses to build


the foundational skills. Now I will never encourage you to to take a course over


going over your own side project if you've got some foundational skills. Now


this is the the mistake that I made. I'm thinking of making a video of how I


would go about relearning machine learning and coding techniques if I had


to start again. So let me know if you'd like to see that. But what I've been


thinking more and more is that I should have started my own project sooner and


that is regardless of whatever it could be machine learning, it could be learning


any new concept. Of course, use books as the foundation or courses as the


foundation of your knowledge because if you have zero understanding of something


and more than it's hard to hard to make something with that knowledge. This is a


great book by the way, highly recommend. But then instead of collecting


certificates, like I mean I've got certificates of courses coming out my


ass, I don't need more certificates, I need more skills and what courses do


is they help you build foundational skills, right? You need those skills but


then what working on your own side projects do is that they help you


build specific knowledge. So in the case of machine learning and robotics, I mean


that's a very physical thing. So you can imagine how many books you could read on


machine learning for robotics but none of what you read will hold just what


or some of it might but none of it will compare to actually building a physical


robot and seeing what happens. It's the same if you wanted to learn to swim.


Imagine reading a hundred books or doing a hundred courses on how to swim and


maybe you learn that you do freestyle arms and then you go breathe in after


every three arms, you kick your feet, etc etc. But then once you get in the water


do you think if you don't know how to swim you're gonna be really quickly


remembering what you read in the books? No, you're gonna figure out how to swim


while you're in the water, you're gonna figure out how to move your arms, how to


stay afloat or you might drown. So I will always encourage you, yes if you're on


the borderline between doing more courses or doing your own side projects,


start on your own side projects but you can always do both remember? But favor


the side projects, build toys and see if they work. Okay so that is a beautiful


question from for us, thank you so much. We are going to tick that off, come in


here, boom! We'll come back to the chat, see how we're going. Now what we have


here is Ashique says, Daniel I read a few articles a day ago that software


engineers taking up the role of machine learning in the coming days, what's your


opinion on this? Toby says hello, Toby good to see you my friend. So I'm gonna


put this, I'm gonna copy this from the chat into the notion so that way that


way we have a source of truth of all the questions that are answered in here and


if you're coming back to this video at a later date you can check them out. So


live on YouTube and as a bonus we haven't been kicked off YouTube yet. I've


been kicked off a few times lately, don't know why. We keep this, we keep this


stream PG and nice and fun don't we? Alright, alright let me show you the


question. So Ashique says, Daniel I read a few days ago that software engineers


taking up the role of machine learning in coming days, what is your opinion on


this? So I, the way I look at this is that and again this is probably going to


be in a future video, I'll expand on a bit more but let me just give you my raw


thought, is that machine learning is a tool and then up what's the number one


rule of machine learning? This is a quiz for all of you, I'll give you a second to


put in the chat. Number one rule of machine learning, don't use it if you


don't need to. Alright, if you've got a few simple rules that you could you could


craft with a few lines of code like if then do this else etc. Maybe you don't


need machine learning but if you're you don't have a few set of simple rules


then machine learning is probably something that you can incorporate into


your into your software. Now Ashique says software engineers are taking up the


role of machine learning. Well you need to you need to think about the the


second word in that title software engineer and they're an engineer so what


does an engineer do? I'm an engineer, you're an engineer, what does an


engineer do? They they look for different tools if they're trying to solve a


certain problem, right, if they need a certain tool maybe they're they're


they're screwing a pull-up bar into into a piece of wood because that's what I


need to do this weekend. Maybe they need a drill to screw the to drill the holes


and maybe they need a wrench to tighten the bolts and then that's all good but


if they went to go gardening maybe they need a shovel and the drill wouldn't


really help. So the same thing with software engineers if they need machine


learning for the application that they're trying to build well maybe


they're going to incorporate it. Now I really think I wrote an article like a


year ago called the 12 things I learned after my first my first year as a


machine learning engineer. I wrote it back then saying that software


engineering and machine learning is machine learning is just basically


becoming part of the software stack so with with frameworks like TensorFlow and


PyTorch and all the development stuff and all the deployment stuff things


like TensorFlow serving PyTorch has its own version now as well. It's becoming


you can upload a model to Google's AI platform and then just have that queried


as a JSON API. If you're not sure what that means just basically think of it as


your model is hosted on a computer and then you can just write a line of code


to go hey I'm gonna put or maybe two or three maybe a few lines depends on how


much you need to process and you're just going to go in your web application or


something like that you're just going to go hey I say you wanted to build an


application to classify dog photos right the classic example dog vision you build


that in the machine learning course that I teach by the way there's a plug yeah


but say you wanted to deploy that you can upload the train model to Google's


AI platform and then it'll just you can just query that through a line of code


and go hey here's a photo of a dog make a prediction on that send it back to my


app and then I can display that to the customer. So in saying that for me


personally going forward I'm learning software engineering because at the end


of the day it's kind of sad when a model ends its life in a Jupiter notebook and


too many of my models have perished have gone to their funeral in a Jupiter


notebook and no one else has used them except me I find that sad so me


personally I'm learning software engineering because I need to build


things that can use machine learning like it's pretty hard like this is a


horse without the cart problem a horse before the cart problem or cart before


the horse right cart before the horse to me a lot of if you're a solo machine


learning engineer a solo data scientist something like that and I don't


particularly want to work for any any company other than my own and so unless


is one that really suits my needs but at the moment I'm having fun on my own and


so if you're if I've just got skills here's how I think of it I'll just tell


you how I think of it in my terms because that's the easiest to understand


for me I have machine learning skills I have data skills but if I want to build


an application well if I want to use those skills in in some form of product


or service for someone it's very hard to build machine learning algorithms or do


data science when I don't have any data right so this is the the cart before the


horse problem and what I mean by that is that if you've got a horse pulling a


cart you need the horse to pull the cart there's no point just having a cart on


its own and so that's why I personally am learning things like software


engineering so that I can build full stack web applications and then


integrate or mobile applications and then integrate collect collect samples


of data and in some some fashion whatever whatever service I decide to


build and then integrate my machine learning skills if it is required so


there's a I'll make a I'll probably make a video on that let me know if you'd


like to see it machine learning versus software engineering it's probably one


of the things I would um I would do differently if I was to start learning


machine learning again is to learn from a building point of view rather than


just building like a building something that can get into a user's hands point


of view rather than just building a model with greater greater accuracy


because I mean that's fun but at the end of the day it's not really helpful if


it's not bringing value to someone okay so that is from a chic thank you for the


question you know tick that one off now here we go what do we got here we'll go


back to the we'll go back to um we'll go back to notion and then we'll come back


to the chat so if Sean says a medium-sized business verse two to three


small businesses and now I copy I just copied and pasted all of these so I don't


really I'll be straight up I don't really know the context to that but then


so he's got two questions a medium-sized business versus two to three small


businesses what the company's looks for in a junior ML engineer I'm a web


developer wants to go into machine learning and AI what part should I be


focused more on projects or experience etc answer this with reference to your


first ML job okay so we'll start with the first one so is Sean says a medium


sized business versus two to three small businesses well this is going to be case


by case scenario what you could think is that I personally where I'm at in my


stages I'm I'm a company of one I have a business partner Andre that the entire


team of of zero to mastery that that is one source of of income so that is you


could say that that's one medium-sized business but then I have a couple of


other smaller businesses that I run say for example the the YouTube channel I'm


partnered with Coursera and data camp with affiliate links medium I write


articles on there so what you could say is I'm a company of one on my own but


I'm also partnered in my my largest source of income is from my Udemy course


and and then I have a few other smaller sources of income so if you treat each


of them as their own individual business I'm I'm part of of several two to well


you said two to three small businesses so I'm probably part of four or five


small businesses and so is that the most ideal situation well at the moment it's


working for me so where do I want to go longer term I truth be told I'm not


entirely sure but I do know that I have a lot of interests in just a whole bunch


of different things so at the moment things are probably going to stay quite


similar for the next couple of years but again my track record of prediction is


probably as good as yours and I need to train my myself I need to back propagate


through all the errors I've made but yeah the world the internet has given


you and me opportunities to create businesses that that weren't there


before but the the key point here is in whatever business you're in whether it's


brick-and-mortar or whether it's online it's bring create something of value


that people are willing to pay for that is the simplest thing and you might be


saying Daniel how do I create something of value well you need to build skill


skill in something this is going to lead into the second course I mean second


question from Ishan what companies looks in a junior ML engineer I'm a web


developer who wants to go into machine learning and AI which part I should


focus more on projects yes always focus on projects or experience etc answer this


with reference to your first ML job so my story with my first ML job is I got


pretty lucky well I'm not gonna know not pretty lucky I got lucky right because I


was relentlessly sharing my work online just saying hey I'm learning machine


learning and at the time when I was doing it machine learning was kind of


this or artificial intelligence was Australia didn't really know much about


and they kind of like still don't to be honest because we go to I worked for a


technology company in Brisbane which would partner with other larger


companies and say hey you guys have a lot of data we have machine learning


skills would you like us to build you a proof of concept to try and help out


with with some kind of service that you offer and so that's what we would build


we would build projects in different industries health commerce you name it


and so what what does a company look for in a junior machine learning engineer


that's gonna be different for role to role to role now whatever that's gonna


be what I would do or how I got hired with my first ML job was that I was


posting continually on LinkedIn like what I was learning it's like hey I just


learned this and machine learning here's what I built with it etc etc posting and


eventually someone sent me a message and said hey Daniel this company not there's


a person you should meet it turned out I met that person that person knew


another person at a company and that was the company I ended up working for and I


spoke with them told them hey I'm doing this thing I'm learning it in my


bedroom here's what I've done that's the most important point a lot of well in my


opinion right this is what you have to understand or my opinion but they could


see what I had done so this is why if you don't have experience in in machine


learning or some sort of role you have to create it yourself through projects


now what I would do I'm not looking for a job at the moment but what I would do


if I was would be I would find an ideal company or an ideal role that I would


like and then I would look at that role and okay I'd read the skills and you're


gonna see trust me you're going to see these things experience three to four


years needed bachelor's degree master's degree PhD three of them yes seven more


years of experience and then you get a junior role right and you're gonna you're


gonna read that and you're gonna start crying because or not really because


you're probably tougher than me you're gonna start crying anything screw that


all job postings are basically just generic crap that someone has copied and


pasted from another one and just said yep that'll do but read the actual


skills find out what the role requires what will you be doing their day-to-day


you're smart enough to do this research find people who work for the company


actual engineers and say what do you do day-to-day ask them you never know you


might you probably you might not you might ask a hundred people and you might


get a hundred no's of someone not even replying to you but you might get one


and they might tell you what they want to do what they do you could ask


recruiters you could ask engineers I probably prefer engineers awesome what


they do day-to-day a lot of engineers are probably happy to go you know what I


don't really talk about this I'd love to share my advice for someone who's trying


to get in this role and so once you figure out what they do day-to-day start


the job before you have it and what I mean by that is set up design your own


project this is why projects are so valuable design your own project based


on what they've said that they do day-to-day and so then when you apply


when you reach out if you send your resume in through a job portal it's


probably gonna get filtered out anyway so when you apply by sharing your work


by directly contacting people at that company you can go hey I talked to XYZ


and I spent the last six weeks and yes I'm being serious when I say six weeks


because that is a great amount of time to it's it's short enough that you're


not over investing time but it's also long enough to do something amazing it's


why I built the Airbnb project series on my youtube channel if I was going for a


job at Airbnb I can go hey I built this look at it that's there you go there's


you want the product history I designed this project myself I took everything


here's here's how I got the data here's how I modeled it here's how I deployed it


all ready to go and so that's what I would do if I was applying for a job now


what does a company look for and a junior ML engineer it's going to be


different from company to company maybe they want AWS skills maybe they want


Google Cloud skills but that's what you have to figure out and you can


incorporate all of those into your tailored specific project for that


company now to me that's a lot better than just clicking apply on some website


build something okay we go here we are back to so Ishan I hope that answers


your questions thank you very much and let's go to the chat Merlin my boy Merle


what's happening brother my son how you doing good to see you man so we see what


are we got hi from Indonesia good to see you all right what do we got over here


let me how do you choose well we got a lot of questions here and okay I think


I'm gonna I'd love to get to all of these but in reality I can only get to a


certain amount so if I miss your question it's not because I don't want


to answer it for you it's just because there's a lot feel free to email me at


any time Daniel at mr. D Burke I'll get back to your question in text format and


I've just realized this little camera thing is just showing a microphone


constantly how professional and all right we got one here beautiful from I'll


just show you it so Gockelman says to do well I'd really like if that just turned


that into to-do list there we go and Gokul now how do you choose a great side


project what factors do you consider I always end up doing some side projects


that end up being too trivial hmm what factors do I consider in doing a side


project number one curiosity if I'm not interested in something it's going to be


very hard for me to sink my teeth into it and it won't set my heart on fire and


so I won't be able to put as much energy into it as I'd like so my last one that


that Airbnb project that I built that little documentary series on that was


just a fun little toy project that I decided to do was I wanted to I had a


few tools that I wanted to learn like a detect on two and weights and biases and


this is a great way to learn tools right is like choose a side project and then


just go you know what I'm gonna see how these tools over here these things I


want to learn marry up with this problem I want to solve and just go maybe they


fit maybe they don't but that's the fun about it and so going back to the last


question that I answered if you want to maybe you're going for a job so a great


side project would be some side project that's going to be specifically related


to that job right for example I I what I should have done when I the last job I


got denied for was about two months after I quit my last job I wanted to


start my own business but I saw this role that was going it was for a machine


learning engineer position I think I wrote a blog post about it but it was


for a machine learning engineer position at a company called Zoe or Zoe ZOE who


are working on building a personalized nutrition system and that's that's


somewhere where I'd like to go like for example I want to look at a plate of


food and know how it's going to influence my body is that possible maybe


maybe not but yeah it excites me and so I applied through their job portal I


also reached out via email directly to to one of the people that I found work


there and just said hey here's my here's my staff here's what I built here's what


I've here's my experience etc etc long story short I got denied for a lack of


experience now what I should have done was I should have built an interesting


side project something that interests me around what I'd be specifically doing at


that company when that was I would read the role and go you know what okay


they're designing a personalized nutrition system that someone can can


track what they eat through through an app interface okay so maybe I should


replicate that and then that app breaks down what's what's in that food so okay


it's got image recognition on that food okay so that's one part of the pipeline


that I could build alright so maybe I should have gone through those and that


would have really interests me and so and that is how I would choose an


interesting side project is it has to first of all drive my curiosity will it


will it help me learn something and then three will I have a story to tell


afterwards and I mean you're gonna have a story to tell regardless of your side


project and also another one is if you think it's going to be too trivial to


begin with you're probably thinking too large now the reason why I created the


42 day I stole actually I stole this from base camp I stole their 42 or their


six-week project cycle and what I mean by that is you can look it up on my


website Daniel Burke 42 days Daniel Burke calm no I really wish I had my own


name is my domain but I don't mrd berk.com slash 42 days or just search


Daniel Burke 42 days but anyway it's really simple it's just you you set out


on a new project that's something that interests you but you set the timeframe


to be six weeks you go I'm only going to work on this thing for six weeks and


what you do at the end of the six weeks you should decide whether it's worth


pursuing because again six weeks is a lot of time to to figure something out


or to to realize okay maybe this wasn't worth pursuing and then after that next


six weeks you go oh am I going to keep pursuing this yes then you might get to


a point your side project suddenly turns into your main project but worst case


scenario if you try something for six weeks it doesn't really spark your


curiosity as much as you thought you can just push it to the side well that's


done you've got a story to share you're like hey I work through this and it


turns out people also like to hear what things that didn't work in fact it's


it's more robust in life to know what doesn't work for example if you knew


something that was going to harm your health one way to be healthier is to


avoid what's going to harm you so that's how I choose a great side project


curiosity can I learn something from it and will I have a story to tell after it


so let's go back to the notion and we're going to take this off go cool enough


says and how do I choose an interesting side project thank you for that


alrighty now we're going to go back to the notion and then we're going to oh


Walter says greetings from Peru good to see you Walter thank you for joining in


and what do we have here hi from Indonesia yes we've taken that


no while says what are my configurations of my macbook it's a it's a 16-inch


macbook pro so the almost the top of the line that was my present to myself after


having a good year in business but I sold my laptop for it I only need one


laptop and really this is probably overkill I probably I probably say it


really pisses me off that Apple it's it's hard to run Nvidia style deep


learning libraries like TensorFlow and Pytorch on Apple's GPU so this bad boy


has an 8 gigabyte GPU real fast great for editing videos but for deep learning


no so what I might have to do is get like a Nvidia GPU card or build a deep


learning computer of my own or just continue using cloud instances but


anyway so Emil says greetings from the Netherlands great to see you and we have


Nigeria so quadri great to see you as well Merlin I'm going to get to your


question because it's a it's nice and simple what do we got here Merlin my boy


you know Merlin I once are once traveled the entire width of New Zealand in a van


it's freaking great we met my boy Richard in the lifeboat so Richard owns


a small business in grey mouth which is a tiny town in New Zealand serving coffee


and Strupple waffles which are like a little beautiful delicious cookie out of


a small wooden boat on the end of a rock pier with waves and wind howling like


you wouldn't believe so shout out to Richard and Monique now Merlin says


viewpoint on fitness gurus there we go here hey viewpoint on fitness guru


Daniel Burke is that is that a question at me like me being a fitness guru if it


is up yours Merlin now I'm kidding love your brother but fitness gurus in


general what the what see I I nearly got into that world right the fitness guru


and like posting photos and Instagram I've been shredded and all that sort of


stuff and don't get me wrong I'm still shredded I like being I like being fit


and healthy it gives me energy to do other things see that's a the first


principles approach to life is take care of the spirit take care of your health


take care of your wealth take care of your relationships I've got a video


coming out in that probably tomorrow but if you go into health right what do you


need you reduce stress move every day eat well avoid processed crap don't eat


so often sleep simple that that's like health in a nutshell whereas if people


are trying to like health improves via negativa by removing things whereas a


lot of health marketing these days is like take this supplement oh if you're


if you're at your desk take this this pill if you're if you're trying to sleep


take this if you're whatever it's what what is what is this crap right it's


like no just keep moving eat well gets if you need to sleep sleep that's that's


it right like that's that's fitness see I I find great pleasure in challenging


my body and challenging my mind and so they're two non-negotiables for me


every day is movement some sort of movement whether it's a walk in the


morning with my dad and puppies or whether it's a creative or a full-blown


session like I did this morning with gymnastic rings hill sprints etc etc I


went for a little swim after did some did some animal crawl get close to the


ground get dirty so yeah fitness gurus they have a place they can they can live


in that world I've even been in that I've been in the world I got tanned took


my shirt off got up on stage did the poses still got some pretty nice guns


but come on if you're coding Python you need to be rocking pythons number one


rule when it comes to code but fitness gurus if they're preaching movement


they're preaching health I support them put it that way but do you need all the


crap no not really all right so that was view on fitness port fitness guru Daniel


Burke but as as fitness guru Daniel Burke probably the most shredded machine


learning engineer on YouTube that's that's number one rule for me is coding


Python rocking pythons number one rule we'll take that one off the list okay so


I've got do you have a few questions here look at this one this is a this is


a big dog big dog question what I might through do is bust through these because


I they they did send me emails directly and I promised I'd answer on stream then


we'll jump back in the chat so I'm going to look a little speed round we'll mix


it up we are 45 minutes deep into this so let me know in the chat is it going


all right like and this is always kind of just a figuring it out thing and


that's that's what a lot of life is right it's just figuring these things


out so we have here from Muhammad my name is Muhammad like your machine


learning engineer LinkedIn profile I removed that out of there but there was


a link there I'm impressed by what you did your business and everything it's


very inspiring I'm working on an online course which I will upload to you to me


before that I invest a lot in myself learning making multiple online courses


so I would like to know do you use any paid ads to promote your course on you


to me and if you don't do you have any marketing advices so keep going I will


not be in your live stream because of the time difference living in France oh


that's amazing I'd love to visit France one day I've got a friend in France


called Ludo we also met in New Zealand actually he gave me a gift where is it


my boy Ludo gave me this gift this is a stone and I don't know if you can see it


well this is a necklace that says the cheeky you can't see it I'm just gonna


read it friendship the cheeky little bugger put it in my jumper pocket as he


left because he had a flight out at um 430 in the morning and there was no


chance I was wait I might do it I'll say goodnight to you I'll say lovely to meet


you and safe travels tonight because I'm gonna be asleep at that time tomorrow


and he snuck this into my jacket pocket while I was asleep and I woke up the


next morning I'm like what is this oh you cheeky bugger anyway Muhammad says


do I use any paid ads for my Udemy course no I don't


Andre might but I don't think so my so do I have any marketing advice so I


don't use any paid ads for anything that not that say that they're paid ads are


something negative I might try it who knows I don't know but what are my


marketing advices and my marketing advice is always going to be I could


improve at this right I've never really I don't like the whole idea of like


having an ad and shoving something down someone's throat and just being like you


need this or like an ad popping up from me and someone's feed and it being like


oh here you go here you go you might want this coming people have got enough


stuff in their lives right including online resources and whatever I my


approach to to business and getting things out there is to make it as good


as possible so that it markets itself and what I do on YouTube and what I do


on medium and all that sort of stuff is is that a form of marketing you could


say that but in reality I am seriously just putting out things that I myself


would have liked to have seen in the world or things that people like


yourself like customers and fans ask for and when they collide over something


that interests me and and the people that I make things for my customers my


fans when they collide over it's a beautiful moment it almost works for


itself and so the best thing that happened with my course and why I think


it's been the uptake has been so so large because Andre I partnered with


Andre who'd already made some Udemy courses and he'd made them exceptionally


well and so he already had an existing base of students and so when we a lot of


them were asking for a machine learning course and so the way Andre and I


partnered up was I wrote an article again that one I mentioned earlier in


the stream the 12 things I learned as a machine learning engineer during my


first year and he read it and liked the article so there's it and then emailed


me and said hey my students wanting a machine learning course you've got


machine learning skills do you want to partner up I'll bring the I'll bring the


students and you bring the machine learning course machine learning skills


and boom and then we we launched it and I made the course that I would have liked


to have had when I first started learning and it turns out that I poured


my soul into it I got real like I put I try to pour my solar into everything and


it turned out that it's it's it's gone pretty well but at the same time I


always know that it could it could um it could it could be better and that's


that's the beautiful thing now is that the students are when they go through it


you might have gone through it if you're watching this you offer feedback and say


oh this could this could be improved or this teaching aspect it got quite


confused there and I go oh look back like you know what in the in future


iterations that is something I could could work on explaining clearly so what


I need this chords going off I actually need to close that then boom and so what


are you what are my marketing advices well I would say first and foremost put


out something that this is before marketing happens it's put out something


great you want the product to marketing is like a nice to have this is the same


thing with machine learning almost it's like if you're building an app machine


learning is a nice to have if you require it now if you're building a


product marketing is also a nice to have if if your product doesn't sell itself


like the product has to be that good that it sells itself so for example you


wanted to be that good that someone gets it and the marketing the best marketing


ever tell me if I'm wrong is when someone goes hey I tried this thing and I


know that you also like this thing so I think you should you should try the


thing that I tried because it was really good that's the best marketing ever but


that comes from like better than any ad I could write better than any video I


could make it's it's when someone tries something and goes well someone tries my


machine learning course and goes hey this course by this dude is is pretty


good you should try it and then someone else looks at and go wow that is pretty


good too and then they tell their friends and etc etc that's the best


marketing you want to build something that first of all you'd like to see in


the world and second of all is that good that people want to tell other people


about it so that's my marketing advices but of course the next thing you could


do is to create things around that take all the questions one of the things I do


is when I get a question like what I'm doing now is when I get a question I


make a specific resource tailored to that question so one of the the main


questions I used to get I still get actually sorry was I want to learn


machine learning how do I start I wrote an article poured my soul into it


answering that one specific question for that one specific person and it turned


out a lot of people had that question and so a lot of people looked at that


article so that's that's another piece of marketing advice there all right so


thank you for the question Muhammad I'll send you because you're not here you're


in France so I hope you're having a great time there I will send you the


timestamp and of this video when it's on YouTube so Amal says I said I was going


to go through these fast but that was a lie and Amal says in this time I'm


thinking about studying to take master's degree one of the CS specialties so I


would like to consult you and know about helpful recommendations from your


background so that may help me to choose one of these fields data science web


science artificial intelligence and cyber security whoa that is a lot of


fields there look I'm gonna be truth be told it's I can't make a decision for


you so my best advice with these things is to dabble is to to go through them


with trial and error is to if you want to look at data science try it out if


you want to go into web development try it out artificial intelligence cyber


security try it out like this what's the you don't need to necessarily learn all


of these things at one time as you can just just see how it goes of course and


remind yourself building skill in any of those fields will take time right


there's no there's no like you see these things as like learn learn


programming in three months and all that sort of stuff no that's that's not how


it works is that you try these things out you see if it's past your curiosity


if it sparks your curiosity you keep going for a little bit more and then you


start to build skill and then once you have skill that's when passion starts to


come all right a lot of people think is like oh passion I don't have a passion


what am I going to do what's my passion is my passion data science is my passion


web development is my passion artificial intelligence is my passion cyber


security and maybe any one of those things but usually what happens is if


you're not sure try to build skill and at least one of them because then it


kind of it helps itself the passion the skill triggers the passion and the


passion helps you to get better at the skill and so it becomes a circle so when


I when I couldn't decide on something I'd like to do it was usually because I


didn't have much skill in any of them see people generally like to do what


they're good at so that's my advice for that one oh if you want CS I found a


great resource the other day where can I how can I get this up maybe I boom here


I'll get up here teach yourself CS this just got updated look at this if you


have the dedication you can potentially go through this and I say potentially


because of course if you have an opportunity in life it requires you to


take on the responsibility of fulfilling that opportunity look at this teach


yourself computer science boom full screen so this guide was extensively


updated in May 2020 that's this month this is going to take a lot of effort


TLDR study all nine subjects below if you want to learn computer science in


roughly the presented order using either suggested textbook or video lecture


series but ideally both aim for 100 to 2 hours of study on each topic now if you


were doing let's go three hours a day five days a week so three times five and


actually we want so let's go 150 hours per topic there's nine topics 150 times


nine that's thirteen hundred and fifty hours to get through this times an


average of three hours per week is oh sorry three hours per day is 450 days


now take out weekend you might as well say that's two years right two years to


go through all of this stuff so don't be thinking oh and that's three hours per


day at five days a week now I say three hours some days you might do less some


days you might do more but three hours is generally a good amount of time to


if you're focused to get something worthwhile done but look at this


programming computer science algorithms and data structures math for CS


operating systems computer networking databases languages and compilers who


knows I might even go through this I haven't done a CS degree or I might just


pick and pick and pick and choose the things I want to go through still too


much like this is this is phenomenal if you have the dedication to set this up


share your work as you go right if you're like wow I want to try this out


get a study group maybe you probably won't convince your friends because I


mean your friends are probably interested in other things but put your


stuff out online and then other people who want to do this will probably find


you if you're putting yourself if you're putting your stuff out there that's


that's why I did it so that I could find people like you guys who are interested


in things that I'm interested in teach yourself CS I'm gonna put that link in


uh in the description later on but boom I'll create a bookmark for that and so


thank you Amal now John Smith has a series of questions I'm gonna pump


through them because he's he actually said he wanted his name changed and


that's fair enough maybe I should have changed the other names of people and


all right let's do a speed round I know I said that about ten minutes ago but


this would be a real speed round what is your daily schedule like how many hours


do you work per day I don't really have a schedule I try to avoid any any event


as much planning as possible if it's if it's not like a just a short term thing


now the reason being is because that's that's kind of the reason I started my


my own business was because I wanted to be in control of my time but what I've


been doing lately is I get up quite early in the morning I work on a longer


term project that I spend about an hour working every day on a longer term


project that's important to me but non-urgent there's no there's no rush


with this I'm taking my time and enjoying it it's actually it's sitting


over there you can't see it but that's on purpose so that's what I do it will


get up in the morning lately it's been about 5 or 4 30 a.m. and it's still dark


but I light a candle over there because it's it's um it brings up the tranquility


of things and then what I do I go for a walk me and dad go for a walk at


sunrise about 6 a.m. and then I come home I do I'm in study mode for May I've


been off social media doing experiments of no no consumption of social media


whatsoever only just sharing things you should try it it's really good 30 days


and might do that every six months and and so I spend three to four hours once


I get home from the walk it's about 730 and spot so I spend about three to four


hours of either studying or creating at the moment I'm in study mode so it was


it was just all all um all study all reading this book end-to-end really


great book hands-on machine learning and then after that I usually finished off


after I'm finished studying I answer all the questions from my my students in the


discord channel and reply to or check emails and reply to the things that I


need to reply to I'm pretty terrible with emails but that you got to be


terrible at something right not really I've been trying I've been trying to


improve and but then I have something to eat so food is my reward for doing for


doing something challenging so whether that be I like to do something


challenging every morning before I eat that is that is probably my one routine


is do something challenging every morning before I eat I feel good when I


do that after the afternoon probably do a little bit more study and work on and


work on something that sparks my interest try to learn something new go


for a walk again or do a workout and then by about 5 p.m. I've been really


trying on writing down on my my thing to like finish at 5 and then do nothing


after that and then just read and whatever it's kind of hard like because


I have my bed right there and my computer right here so it's it's hard to


like fully disconnect but that's a challenge I signed up for and so by I


have dinner with the family like 6 to 6 30 730 maybe depends really depends and


then I'm in bed usually by 8 or before 9 and I'm reading reading a book of some


sort so yeah that is what my day looks like work I would say and truth be told


I don't see any of it as work because I have fun doing it so it's like in


reality it's probably four to five hours of solid work on average a day sometimes


less sometimes more so yeah I'm not I'm not I prefer rather than the longer


hours just make sure the hours that you're putting in a quality hours don't


be distracted like you can get I had a conversation with a colleague at my


previous machine learning job that um but we believe that you could shorten


the week to four days and six hours a day and we get the same amount done


because most days are just filled with two to three hours of crap so take that


out and just do what needs to be done and just trust that each other's gonna


do what they're gonna do that's a really important point and things will


get done yeah so some days I need to do more work some days I don't but I don't


put our pressure on myself to do more hours I think I put pressure on myself


to do quality hours all right so since you have multiple income streams did you


make a corporation the LLC for each income source or just one corporation


also what corporation did you make I'm just wondering because the tax deductions


and what income did you start the corporation whoa that's a lot of lawyer


speak I don't really know but the way it works is well truth be told I did do


some research because that's important if you're gonna start business you need


to know things I think that's more targeted towards the US in Australia we


have we have this thing called self-employed and and so I am I'm a soul


trader that is what I am in Australia so I'm a self-employed business of one so


to speak even though I work with with other people so that yeah that's the


setup scheme there and so I am taxed at the same rate my tax rate is the same as


an individual so someone who was working for a company but I have I have the


ability to say it by invest in something so this is I bought a MacBook Pro to run


my business I sold my old laptop because I needed a more powerful machine to edit


videos and etc etc and so that I can I can write off on tax because it's purely


for my business I basically don't do anything on and this is this where you


got to think about what you want to design the life for yourself so I


basically don't do anything on on my laptop which isn't like related to my


business where there because my business I've created it around the things that I


enjoy doing most which is coding right or basically writing my favorite things


to do in life I create and learn so writing I love nothing more than


writing writing code writing words code because it's a it's deterministic words


because there's a beautiful array of of there's this limitless possibilities of


what you can create with language right code is like you write code it works or


it doesn't you write an article or a story and people can take what they want


from it so they kind of I like that's that's living at both extremes of


creation so that yeah I said this is going to be a speed round another lie


three how much do you pay yourself I am assuming the $98,000 you made in your


business's income not yours even though you run the business out of the 98


thousand how much would you give yourself as an income okay so yeah great


question so when I posted I posted an article recently which is um running a


business from a bedroom it's on my website I'm not going to put it on this


and running a business from oh running a business from from my bedroom and I said


I earned so far it was 11 months in I earned $98,130 and you could probably


take about $20,000 off of that for expenses so things like bills around the


house just general operating costs and electricity food I know foods not


incorporated in business so that's about $78,000 all of that gets paid to me but


my the thing is the most important thing is is that my expenses are low I don't


spend money on anything other than what I enjoy and what I enjoy happens to turn


out to be things that are relatively cheap right this is like people


overestimate how much you you need to earn as a as a business my goal no one


ever asks is like why do you need to grow a bigger business people always say


oh yeah you need to grow your business it's like I've hit the point I've hit


the point I've hit the point where where I buy more shit it doesn't mean anything


to me it's like I've I've earned enough I earned enough now to be able to pay


for bills right it wasn't always like this but I kind of already learned this


lesson I earned enough to pay for bills pay for food pay for the things I want


to work on pay for rent etc so that's it I don't need anything else I got to


create this is my tool boom I got a keyboard I can I can make make things


now so that's that's what I wanted to set up so yeah and and also my


overheads are very small because I create digital things I create things


that can scale code and media can scale I had no no I didn't have much money to


start I think I left my job my machine learning job with about seven thousand


dollars in savings so I knew I had to make something that could generate me


income with a very low overhead cost that comes in the form of code and media


so that's what I do okay here we go we're back to the questions number four


how do I find people to work with my startup business I'm just wondering


because I'm trying to find people I can work with who live pretty close to where


I am also I'm having a hard time finding a tech person who was willing to take a


leap of faith I asked about 30 plus people and these are some of the replies


I got back I got a job offer I don't think I'm qualified I'm too busy with


school I don't know this type of technology but if you're trying to find


somebody doing any of her analytics contact me the list goes on as of right


now I am the person doing the tech work which I don't mind if I found a tech


person who I can trust and work with it would be more efficient to launch the


business and the products also I need to find one person I found who lives right


across the street for me and recently got laid off this person has a lot of


knowledge in the industry my business is trying to get into has good work ethics


and wants to start a business too however this person's tech skills are


questionable like what if this person does not have the necessary tech skills


for what I'm looking for should I tell the person to learn and come back once


the person has the skills or should I just tell the person to join and learn


the skills on the way I'm wondering because this person would be really good


at marketing the business I'm just wondering how do I convince people in in


the B group to join later on just want to know your input on this because you


partnered up with somebody in your Udemy course whoa okay I need to be straight


up with this I don't have enough experience to answer this question fully


like in terms of hiring people so what I say here is just kind of how I would go


about thinking the problem or what happened how did I partner up with with


Andre to launch the machine learning course I wrote an article Andre emailed


me we got in contact he showed me what he'd work on in the past I showed him


what I worked on in the past and we said you know what we were probably we're


probably pretty good to partner up and put this thing out in the world now the


important point is that I had to when we first contacted each other I had two and


a half years of of material online that I had put out there myself with with no


prompting from anyone else so this is why it's so important so important to


have your work somewhere where someone else can see so if you have this


situation if you have someone who's looking to hire someone and they're not


sure like who to hire and that's so that's maybe they're searching for for


people and somehow your num your name stumbles into the mix it's like when


they look at your name what do they see because this is the world we live in now


this gentleman John Smith talked about he wanted someone in close vicinity now


again I can't really comment on this because the the people I'm partnered


with we all work remotely Shabam is my teaching assistant or as it was our


teaching assistant who's an absolute and complete living legend and we've never


met in person the way the way he he sort of he came onto the team was that it was


we had a question and answering on Udemy for people who need to answer


questions and and the trial was go and answer some questions and he did an


amazing job and said well you want to keep going yeah okay well that's that's


that's how it worked that's how we hired it and so I think if I was looking to


hire someone I would if you're asking them to take a leap of faith you have to


also take a leap of faith so I would say come in for a few days paid yes paid


because people have lives they can't just do free work and this is the risk


that you have to take if you're hiring someone you of course you do a little


bit of vetting first you make sure that they're not just just someone walking


down the street but if you've got if you've got a small group you go well


come in spend a spend a day or two working on this and we'll we'll see how


you go that's that's how I got hired for my machine learning job I went in and


they said come in for a day a week for the next couple of weeks and work on


these problems here's here's the problems we're working on see what you


can do and I did a whole bunch of data analysis with pandas didn't know a lot


of it but I knew I had the foundational skills I could I could figure it out


like as I was going along and I showed them my work said hey here's what I've


done I figured this out and they said you know what you want to be hired and I


said yep so that's what I think it also it like as I said I don't have I don't


have much experience in this but that's what I do if you if you're expecting


someone to take a leap of faith and work with you you have to take the leap of


faith first to give them an opportunity like at the end of the day if they're


gonna dedicate their time helping you to build something it's like you need to


you need to make the first move man you need to make the first move John Smith


okay what do we got here how come you don't claim your ad revenue from YouTube


whoo-hoo I don't need it I didn't want it well I could use it but I'm sorry the


thing is the story here is I've never claimed but I've never made a cent


directly from YouTube so every video that I've made every video of mine that


you've watched I've never seen a dollar from that the reason well I have in in


other other aspects so for example affiliate links or people customers buying


my course students buying my course through they found me through my videos


and seen my website and then bought the course from there etc so that's how I've


made money indirectly from YouTube but the reason I started on YouTube was not


necessarily to make money from it was to just make sure that I was it's I made a


video about this two weeks ago it was a creation verse consumption I'd reached


a point in my life where I realized I was consuming too much I wasn't creating


things that I would like to see in the world I knew in deep down that I had


things that I wanted to put out in the world so I wanted to to do that to


create to make videos to put things out into the world and I didn't want and


I'm not saying that money is a bad thing right I didn't want it to be just


shooting for the money because first and foremost I knew that that wouldn't


happen for a long time I think it was like a year on YouTube before I made a


single cent from ad revenue but then Google sent me a letter in the mail I've


still got it in my drawer which is like this code to activate your ad revenue


and I just kept it in the drawer isn't like well I'm not I don't need to make


money from YouTube I'm I've got an income elsewhere I'm just making these


videos to first and foremost follow my own curiosity and to secondly


potentially bring value to others because money stands in the shadow of


the best currency in the world the value you bring to others or the feeling you


you spark in someone else that's that's what I'm going for and whatever I make


that is what I'm going for of course money is nice I'm not stupid I know I


need money for food and and bills and and tech and whatnot but if I've got


that coming well then why do I need more so yeah that's why I don't claim YouTube


ad revenue maybe I will one day but at the moment it's just sitting there in


Google's bank account doing nothing maybe it's probably smarter to invest


that in something else hmm I don't know but yeah I'm not claiming it for for the


foreseeable future okay boom that was a 10-minute speed round


five questions okay we've done enough in the notion let's go back to the to the


chat I'm so sorry for ignoring what was going on here boom boom boom and I know


you enjoy girl on girl from your web history Daniel Jesus Christ what was


happening in the chat here talk dirty to me how do I Wow redheaded camgirl how do


I kick this person sorry guys that you had to see that and


hi user boom Wow my bad should have moderated that better I should have set


someone here as a moderator and what questions do we have


and a chic says how I will impact on blockchain field because after this


coronavirus many countries getting their hands into blockchains like India right


now views on blockchain with CoLab of AI blocks I don't know enough about


blockchain to comment on this so I'm gonna stay out of it but I look the


technology to me it makes sense put it that way it makes sense things like


Bitcoin makes sense but when you have a whole societal shift which is what


blockchain and things like Bitcoin kind of require they take a they take they


take a fairly long time to fully manifest so yeah I think will privacy


like AI and data privacy be a thing yeah that'll probably be a thing I think


privacy is kind of overrated at the moment and but going forward I think


it'll just be like the default it'll be everything's private the AI learns on


private data no one can be traced it's all tracked on the blockchain it makes


sense put it that way but as for actual things I don't know enough about the


space and my bad my bad team that redhead chick was gone crazy far out


redhead camgirl just again camgirls in the chat your fans everywhere I finished


the deep learning specialization gotten familiar oh this is from Ali by the way


I'm gonna put this in here oh I forgot to put in a sheik's question


we got here a sheik thank you very much all right what we might do is tackle


because this is going on I'm might be maybe ten more minutes maybe two or


three more questions are you guys having fun let me know in the chat yeah how we


going so far so a sheik I'm gonna turn that into I had to do done all right


next question from the chat let's do it and Ali says I'll copy this


and I'll copy this


Ali says I finished the deep learning specialization gotten familiar with the


tensor flow to build NLP time series and CNN models but some models on Kaggle


datasets now I'm looking for internship and work well and where would you


recommend I go next start your own projects Ali if you've got a foundation


start your own projects find the job you'd like to work out figure out what


they work on day to day and stop that start doing that reach out to them


directly job portals are basically null and void I well that's my opinion but


that's how I would apply for a job but seriously if I found a technology


company right now I would figure out what they do I would replicate that


myself show them that I can replicate it myself and then be like boom here


because any roles as I said a lot of machine learning engineering roles and


the things that I would go forward like they loved that they love to just drop


in four plus years of experience one way that you can do that is to just skip


that and then just go you know what screw these requirements I'm just gonna


work on what needs to be what needs to be done and then show them that will it


work I don't know but that's that's seriously the approach I would take but


yeah so take what you've learned in those deep learning specializations the


tensorflow and LP and if you're looking for an internship build some things with


it apply directly to the people who work at that company message the engineers


message the recruiters that's this is so this is the second part of getting a job


so the first part is of course always building skills that is regardless of


what you do in life build skills to connect what's in your head with the


material world the second part is showcasing those skills directly it's


hard for someone getting a resume of yours through with a hundred other


people's resumes through a job portal website and then going hmm which one


should I pick so get rid of that straight to the target great question


great question


and


here we go


Ken my boy Ken Ken G says Daniel Burke would you like to have a data scientist


verse MLE jujitsu spa done my friend we're on this is our this is peak peak


tech YouTube this is a real conflict here man it's on man let me turn this


into a bloody to do there should be a shortcut for this in notion look at that


my boy Kenji would you like to have a data scientist verse MLE jujitsu spa


now if you're unaware I've been doing jujitsu for like the last year and it's


great fun it's a great challenge it's like it's like coding but for the body


so you have to figure out different patterns and different ways to do things


and man I'm addicted to it I'm addicted to it so can I accept your challenge man


I've seen your work I really enjoy it I'm gonna have to figure out where you


live because I don't actually know and I'm gonna be a little bit rusty for a


while because my jujitsu gym is closed I think it opens back up on June 15th or


something but have a look at this


mate just before I I left got upgraded to a four-stripe wipe out just want to


show you that so I'm not actually sure what belt you are but that's me


white belt mentality I actually don't really want to upgrade because I like


the white belt mentality but it's inevitable that you're gonna improve and


I just want to show you something else that probably scare you off just just to


show you mate if you want to see this is a silver that's a second in the game and


the no-gi well your boy took gold here so just a little um little taunting


there if you want to make sure that you're you ready for this my friend yeah


we're talking to a gold medalist here in jujitsu so long story short challenge


accepted my friend let's do this that'd be great to two nerds wrestling them out


I'd watch that all right so Ken tick done jujitsu spa we're on what do we got


here all right one more question one more question and Ken I need to uh yeah I


need to we do need to collaborate my friend I'll uh I'll we'll get in contact


somehow I'm pretty sure we've got each other's email or something like that if


not you can find mine where we go here one more question what do we got this is


pretty long I think we've answered this question from Gupta can you tell us how


a newbie can break into any type of ML role Gupta keep going my friend it is a


tough thing to do but focus on building your own projects building skill


circum circumventing the job portal of death and just go straight to the people


who are hiring the engineers are on that team show them what you're capable of


and what else do we have here


will be punished discord says oh that's a very will be punished that's interesting


name can you please tell me will the complete learning complete machine


learning and data science zero to mastery course be okay for freelancing I


have some interest in that direction so definitely gonna try it out I understand


it's definitely not enough I'm also looking to learn more deeply HTML CSS


and JS but even so more specifically about the course is that what I need I


just want to know in advance will this course help me get the knowledge I need


for freelancing what else must I be looking for well this is a very


important one I'm gonna tell you straight away even though I made this


course even though I made it like as a source of income even though I made it


to teach you the skill foundational skills of machine learning that is you


got had to remember that is specifically what it is it teaches the foundational


skills what I've stressed I'll say it till I go horse in this video is that


foundational skills like are becoming commodities like you can learn all this


stuff like you don't even have to buy my course like it's you can learn this


stuff for free I will never never ever not recommend you just creating your own


path and learning it mine is just one of the many resources that you have out


there so if you are interested in freelancing and you do my course will


you have foundational skills once you finish the course yes will you be ready


for freelancing it depends it depends on what the freelancing requires but what I


always as I said I again I said it through this through the a lot of times


and this is what I stress for myself I tell myself this the reason why I have


to say this over and over again is because no matter how many books I read


specific skills are more important I treat your books nicer than that so yes


if you are doing doing my course on the complete learning zero what is it


complete machine learning and data science zero to mastery yes you will


have foundational skills will you be ready for freelancing I truth be told I


don't know I've never I've never gone for freelancing roles as I said I will


always tell you if I haven't done something personally and but check out


what the freelancing roles require what what are the consistencies in there in


the freelancing roles how can you build upon how can you take the foundational


skills that you've learned through either my course or through any other


resource and take the freelancing gig that you're after or the type that


you're after because they may not last for very long take the type that you're


after and then work backwards from there so you're like oh maybe I'm seeing a lot


of a lot of these freelancing gigs who want someone to do a proof of concept on


a data set etc etc well maybe what I'm gonna do is find a similar find a


similar data set do up a project end-to-end of working through a data set


like that and you know what I'm gonna reach out to this person who posted this


freelancing freelancing gig and I'm gonna go hey here's what I did here's


what I work for even though the gig is not available anymore if you have any


future work I'd love to I'd love to know I just wanted to let you know that I


worked through this here's what I've done that is seriously what I would do


that is my approach for get go if you have a target go straight to the target


that what that is what I would do so that's my advice will courses build


foundational skills your own projects build specific skills don't do what I do


and just collect courses and and certificates at your ass work on your


own projects I need to do I personally need to do that more so this is why I


stress it so much because I'm giving myself feedback here now history will


show whether I listen to that or not all right but I think that is well and truly


and well and truly a great session far out notion just loves to did you all have


fun because I had a great time we've gone for about an hour and a half that


is that is probably as long as this session needs to go for as always if you


have any questions if it didn't get answered in this video leave a comment


below or and send me an email that's usually the best way to get to me because


I try not to spend too much time on social media I do check emails usually


once a day no never on Sundays if I take too long to respond follow up with me


seriously you'll be very surprised to take away from this week I said I was on


a podcast interview the other day actually if you got a podcast yeah let


me know I'll come on have a chat I love as you can see I love having a yarn and


the takeaway was just ask you never know what's gonna happen if you got


something you're after just ask the universe for it whether it be machine


learning skills or a job or something like that you never know what's gonna


happen so just ask that's the trick but as always keep learning keep creating


thank you thank you thank you to everyone who who joined in live stream if


you're watching this at a later date thank you for watching as well you can


find my email on my website but that is it is it's satellite you know what that


means it's pancake day I'm gonna go I'm gonna go down to the shops get some eggs


and cook up a beautiful pancake with some nice berries and almond butter my


What does a head of data science look for in a junior? | Interview with Ken Jee

The next thing that I look for and I think it's really important in a data scientist is


how do they tell a story? Is there like a very concrete beginning, middle and end?


I mean as a data scientist, like your job is literally like communicating information that


is very complex to business stakeholders who like probably wouldn't understand it if it's in its like


raw very complex form. You know what? I don't think I could have said it better myself.


That's some amazing advice and don't don't worry actually that because there's there's a lot more


to come in this video. I'm actually so so so stoked that I had the chance to sit down with none the


other if you haven't heard of me before the incredible Ken G and now if you haven't seen


his videos they're kind of the videos that I would have liked to have watched when I was first dipping


my toe into the world of data science. So Ken that's a little if you could have started making


videos earlier that would have been that would have been great mate cheers. No I'm kidding but


his most recent videos most recent projects that that you might have seen you might not have


he's been reviewing your projects so people that watch Ken's videos he's been going through them


if you're working on a data science project he's been going through them and giving his feedback


on them giving his advice and saying well I like these things I think this could be improved and


that's I think that's incredibly valuable because you know what Ken's actually the the head of data


science at a group called Scouts Consulting which is a data science team that that takes the data


from professional sports teams and athletes and helps them to perform better I mean that's


something that's that's really close to my heart because as an athlete I want to know how how I can


perform better on the field and if my data can help me out well that's something I need to talk


to Ken about and so throughout this video we cover a range of different topics such as master's


programs versus online learning which one would Ken recommend what he looks for in a junior data


scientist because remember Ken is the head of data science and so if if you were going with an


interview with Ken what are the kind of questions that he'd ask for and what are the things that he'd


look for in say your portfolio or resume or something like that what projects he's learned


the most on so projects he's worked on and gained some some really good valuable insights on and


finally the most fascinating things he's seen from reviewing the projects of others and actually


I said finally but that was a bit of a lie because there is much much more so without any further ado


PS actually one more further ado all the links that you need will be in the description below


so check that out but otherwise enjoy this conversation that I was privileged to have


with the absolute and complete living legend Ken G.


5, 4, 3, 2, 1


Ken so amazing to have you here my friend how you doing?


I'm great I'm stoked to be here you know I'm really I've been really looking forward to this and


I'm just happy to share and hopefully help some people with a little different perspective.


Beautiful mate beautiful well we've got some we've got some questions that we're going to


go through here and I'm sure everyone watching this video is going to get an amazing amazing


amount of helpful information out of it so let's dive right in so the first one mate is where did


you get the motto the only thing in life that matters is a triple digit bench?


Um you know I've been planning that one for a while I think it started in college I really um


you know that that's when I first benched uh 225 and then you know it went up there and I think I


finally hit 315 my like senior year and then I haven't touched the weight since so that's kind of


it. I love it I love it okay we'll actually we'll get into the the data science related questions


now actually because that's what these interviews about it's uh so first of all how did how did you


get started with data science? So you know I I had never really looked at myself as a data scientist


until I guess fairly recently or until I heard the term I always kind of looked at myself more


as like a problem solver and my interest in in this whole field analytics data science machine


learning whatever it is it started with my my interest in sports so growing up I was very


competitive I played you know in the states baseball and golf and um you know those sports are


highly quantifiable and so I was always looking for ways to actually improve my performance


and you know naturally as I started playing more competitively in college I realized that like by


tracking my data by analyzing it I could actually improve my performance you know at this point in


time I was only playing golf so I could improve my performance on the course and that idea was


absolutely groundbreaking for me and I wanted to learn more and more and and eventually I wasn't


just interested in understanding my own performance I was interested in understanding the performance


of you know professionals or other people that had better data on them so you know naturally like a


you know market is for like sports betting like understanding hey who's going to win this game or


something like that and those types of problems are really what would get me going uh you know in


in college I played and I tried to apply that data there after college I tried to play golf


actually professionally and you know the data was really helpful to me I just wasn't quite as good


as some of the other people so you know I took a you know a couple um you know quantitative


evaluations of my skill and realized I probably wasn't going to cut it but you know going forward


I did some work at a company called DraftKings and they do daily fantasy sports and so I learned


a lot more about the different tools that were out there you know SQL, Python, those types of things


and that opened me to the idea that like there are so many options these these tools are going to be


the future they're so powerful what could I do if I really studied them more so I you know was still


trying to understand different sports problems to understand how to improve my performance and then


eventually melded into this thing where I was like wow like I've gotten pretty good at these things


uh and you know maybe I don't just have to apply them to sports I can apply them to other things


so you know after I'd gone to school a little bit more I did my master's in computer science


I realized that like you know I learned a lot about this just because I cared about sports


there's a lot of different options out there and so after I graduated you know I held some different


data science positions than just from sports and I realized that hey I guess I'm a data scientist


now you know man that's so it was more yeah it kind of like you're kind of already doing it


like it was like you were you had your own version of money ball happening like on the side have you


seen that movie oh absolutely uh I love that movie that's you know that's that's all I could think of


you're like analyzing baseball is like who should I have in my team it's like what team should I play


on and so that's you know that's basically what my work is but for golf and then we also do some


basketball so um you know I've actually always looked to data science machine learning whatever


that might be uh as as a means to an end right these are our tools and skills for answering


like the really sick problems related to sports related other things that I'm fascinated by yeah


well how did you find learning data science at university and how has it differed from your own


and how has it differed from your own study so you know I didn't I wouldn't say like explicitly studied


in school so I did economics and undergrad my first master's was in like global business and


then my second one was in computer science and if you combine the okay if you combine the computer


science I guess technically I focused in like ML and AI but you know it wasn't like a master's in


data science degree but if you combine that with the business degree I think you get a lot of


basically what data science is and I think it was good in a lot of sense like I don't think data


science in a school setting is necessarily as advanced or as up to date with what's going on


in the real world like data science is moving really really fast and the only way for me to


keep up with with what's going on like the new tools the new techniques you know like like so


much of data science is done with like docker now or like different productionization tools


like you don't really learn that in school at least when I was there and I guess it wasn't


really around when I was in school but I mean I digress I think that the best skill that you can


have as a data scientist is to like be able to learn new things quickly and to be able to apply


them very quickly and I don't think that school necessarily teaches you that skill set very well


on the other hand I think school does a really good job of like structuring a program of learning


and it takes the the whole idea of like where do I start out of play like you know what courses


you start with like in my master's in computer science degree like I took a bunch of data


structures courses a bunch of systems courses and algorithms course a discrete math course


that was my foundation and then I took like you know like a software engineering course like


like a different types of programming languages concepts course and then I like a bunch of


different like machine learning courses all all with prerequisites whatever that might be


and I think that that structure especially for me at the time was really what what I needed


but if I was to go back with at least some semblance of of what to study and in a somewhat


order I would absolutely not recommend learning data science from a master's program or in like


a formal way per se I just think that there's so many free resources there's so many


like good things out there that if you have some understanding of how to fit it all together and


I'm hoping that you know the stuff that I produce stuff that you produce the stuff that some of the


other youtubers in the space produce does give some of that roadmap you know that would make


some of this education at least somewhat obsolete because you know frankly I'm in like very deep


student debt because of these things fortunately like I can cover my student debt very well but


like for someone in this job market for someone where like you might be a really good candidate


and you might not have a role afterwards like the idea that you're graduating with in the U.S. maybe


50, 100 thousand dollars with the student debt to me that's like terrifying that that they would let


you do that without any guarantees so there's obviously some good parts with the structure


but some really bad parts with like you know you're probably not going to make you might barely make


what your student debt is in the first couple years well that's I yeah I see coming from


Australia it was that the debt situation is kind of it's a little bit different to


to the U.S. but whenever I hear that it's all I'm almost yeah I'm always like wow I can't believe


like and it was a we're getting a little bit off topic but what's the rule there like you have to


to pay it back like is it does it start immediately once you graduate like it's so you either get six


months or a year of deferment but you still accrue interest from what I from what I recall


wow okay you can you cannot declare bankruptcy on student debt so even if you have no money coming in


you still like in theory have to pay it off at some point there are some different programs where


like you can do income based repayment where like you only pay 10 percent of what you're making


or like if you um or if you do income based repayment and you haven't paid it off in 20 years


it's absolved but still it's it's like you know you you have this hanging over your head for at


least 20 years you know and like um well that's pretty scary I yeah like when I think about it


like that it's I mean it's it's of course it's probably different for for wherever people live


but when I think about it like that it's um especially yeah with what you said with the


amount of stuff that's on online these days um I mean there's no shortage of resource resources


right um but even when you think about even the most expensive ones that if you would assign to


online um are like an absolute fraction of of what the amount that you just said um and the


beautiful thing is is that it kind of as you said like college this is what I found too in like when


I was in in college whatever um it doesn't move as fast as as everything else whereas like if it's


online it kind of has the privilege of of being updated quite easily um and kind of still being


updated and kind of sticking with the times there at a fraction of the cost as long as a student who


signs up is willing to to put in the effort but you're right it does college it does give you that


that whole um it takes away that question of where to start or it gives you an answer but yeah you're


right that's um that's probably the number one question that I used to get was uh or still get


actually is I want to learn machine learning where do I start and your reasons what you said is kind


of just dedicated towards answering that where do I start but you know to the to a certain extent


certificate programs answer that question too right and you know it's one of these things that


certificate programs from my experience are a lot more up to date I mean I remember one of the like


the intro machine learning courses that I took uh or that that I signed up for one of the sections


still did it in like SPSS and one of them was yeah SPSS is like a statistics software but like


literally no one in practice uses that no one in industry does it's only used in academics really


and then one of them taught it in R and I was like like how are you teaching this course in SPSS like


that is going to be completely useless to to anyone else um you know who's trying to get a job at us


and it's like yeah you know this is quite some time ago but it was still like no one was using


SPSS in industry at that time either way so it's like you know let's get let's get on board with


what is actually going to be useful to people and helping your students as they graduate


so we might we might stick with that like when when you did like graduate what happened


what happened after that so you you graduated with a master's in computer science did you


you said you got some experience with DraftKings like did that was that like a straight follow-on


or how did that come about DraftKings was actually before I did my master's in computer science so


that was oh really after I stopped playing golf and right before I started my first master's degree


so I did like a internship in marketing analytics there and I actually wasn't coding at all I was


doing like progressions in excel and stuff like that but I did get exposed to their they're like


basically data science team and I got to see all the cool stuff that they were doing and I was like


oh my goodness like I want to do this and they were like you have to learn how to program and I


was like oh and so I like put it off for a while and then I eventually was like um after I graduated


from my um my first master's degree I was like I need to learn how to program this is not fulfilling


to me I was doing management consulting and um then I started and I was like oh my god this world


is so big there's so many cool problems that I can answer with this like there were a couple


questions I wanted to like answer I like wanted to build a model to predict golf scores right


and I was like trying to do in excel and then I learned python for like a month and I could


literally implement exactly what like I'd wanted to do and I was and then I but then you realize


that there's like an even bigger fish like oh I could take this a little bit further and then a


little bit further and then you have this like wild muddy model and you're like oh like this is


sick like I just kept building on this over time um I love it that's that's really cool actually


you just uh one of the things that you wanted to learn was just you just replicated what you


already had in an excel spreadsheet yeah and then you just iterate on it iterate on it and


you know that's actually how I look at it smart yeah because I'm thinking like because I personally


haven't used like I don't use excel that much but my my brother who's an accountant who uses excel


all the time was talking to me and showing me what he was doing I'm like oh I could do that


actually really easy with like just a data frame and python but yeah you're you're the it sounds


like the the you had that this spark came from something that you're already interested in and


so it sounds like um was okay let's let's jump into this one this is kind of related it's um


like what project can you remember learning the most on is it is it something like what you when


you're replicating that uh predicting the golf scores with python or is it so there are two that


come to mind one is like a really short story the first is that that first project that I was doing


where I was tracking my own golf data and I was just looking at the deviation of my scoring that


was my first aha moment that I was like oh my goodness this is actually actionable like data


can help me improve data can help like it is meaningful in some way right the next one actually


came very recently and I did this um data science project from scratch on my channel and you know