that was oh really after I stopped playing golf and right before I started my first master's degree


What does a head of data science look for in a junior? | Interview with Ken Jee

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


that's the first time I've actually had to talk through a project as I was doing it and it's also


something that you know I had to implement a couple different things that I haven't had a


ton of experience with before you know I used selenium to scrape some data I built like a little


api endpoint using flask and like those are things that in my work I don't really use that much we


work with like medium-sized data it's mostly analysis focused rather than like uh implementation


focused so like going through that process and then also knowing that that was going to be out


on the internet for people to follow along with is something that um you know that made me pay


extra close attention to it and I also was like oh like I made some of these decisions why did I


do it that way um and I think that that's really really valuable that like um I wouldn't say it's


pressure but the knowledge that you're going to be putting something out there uh that kind of


transformed the project for me I'm usually like I guess in theory it's no different on your job


where like someone's going to be using your research someone's going to be like hitting your


api endpoint and and they're going to be getting results from your data but to me this was a lot


more I guess like public and I wanted it to be good and like um you know it's not just a data


science project or machine learning project at that point it's also like an information piece


and that element of it for me was also very new and very interesting so I learned a lot about


myself about like where I make errors because you know if if you want to improve on something just


record yourself doing it and just seeing yourself and seeing where you make mistakes you'll be like


I need to stop doing that but it was also a little different because I did it like mostly live so


like if I was making an error I'd have to work through it and people would see that that's a part


of data science I want to make very very transparent to people is that like you know we're


not we're not machines that can just sit down and like crank through a project like you make


mistake like your code doesn't run you you google it you're going to stack overflow like you you're


like copy and pasting to see if stuff works it's it's messy and putting myself out there showing


like that messiness of that process was a little scary but it was also like I think really worthwhile


because you know you you get comfortable with making mistakes after a while and when it's that


public like you really got to be comfortable with it yeah you're entirely right it's uh it's uh


it's easy to look at the finished polished blog post that someone shared and then go oh wow this


is such clean code and it's so well explained and everything like that and it's it's uh every every


clean jupyter notebook that you find online probably started as like a dozen dirty ones and


then was just compiled into into looking looking great to be shareable so that's uh yeah I totally


agree I really um it's something different like you can work through it's one thing to be able to


work through like something just just at a blazing pace and kind of just because you know you're


well you subconscious well you just said that you were made aware of where your your weak points and


whatever but when you're just working straight through something it's like then you're like


they're not coming to to the front of mind because you your brain just like subconsciously does what


it has to do when you're when you're writing code or whatever working through a project but then


when you're like how do I explain this to someone else it's kind of like yeah you have to reverse


engineer your own thought process and you're like oh why did yeah you find it it's like you're


learning the thing twice because you do it once and then you you you pick it apart you go why did


I do that and it's like okay you really start cementing it but that is I love that that's


beautiful um so you mentioned that you at the moment is uh so you make you're making amazing


youtube videos a series from scratch um but you're also working as a data scientist is that uh is that


correct yeah so I'm the uh the head of data science at a company called scouts consulting group so


technically we're based out of Virginia in the United States I live in Hawaii though um and um


you know our focus is improving the performance of teams and athletes by analyzing the data that's


collected on them so a lot of professional sports teams or professional sports organizations they


collect a ton of data on like what happens in an individual game in an individual match on the


golf course whatever that might be and these teams they get a really strong competitive advantage


from being able to leverage that data and do something like valuable with it but like to make


it from like just useless numbers into actual insights that are actionable so uh you know our


focus has been to say okay like with this data how do we condense it and make it make it translate


into wins right that's like the metric that ever that's the yardstick everyone uses it's not always


the best yardstick that's what everyone cares about right like you know if you win um you know


one more tournament as a professional golfer every year um you know each tournament you make


like 1.2 million bucks you're gonna be set you're not gonna worry about it right that's yeah that's


uh so uh yeah i mean that that's really our main focus and you know it's it's crazy to think that


like with my background with my interests that like hey i actually to a certain extent


ended up doing what i was so excited about doing yeah well yeah you kind of ended up doing the


thing that you were already doing you you started the job before you had it man that's i love that


so okay well i think it's amazing first of all it's amazing that you you put out the work that


you do because a lot of people it's kind of they'll be studying in their bedroom at a computer


screen like what not not really sure of like okay i'm learning these things but how does that


translate into actually being something that's not just uh not just living on my computer as


a bunch of notes and and code and so eventually they're like yeah i want to i want to use my


skills to to bring value to the world in some way so i think another burning question that a lot of


a lot of a lot of people have is when they do do go for an interview is with someone like yourself


who might be a lead data scientist a senior data scientist or something like that is let's say


let's we could do it as a little story like say i'm applying for like an internship and you've got


three people or something and i'm one of them um and i'm i'm coming in to have a conversation with


you to work at at is it scouts analytics is that what it's called yeah scouts scouts consulting


group so if i'm coming in and you know nothing about me let's say i haven't even handed a resume


it's just three random people coming off the street they let's say they've got some some data


science skills like if you're having a conversation with them to see if they're if they're a fit


like what are the kind of things that you're going to be asking for or or looking for or


yeah or even just uh like i don't want to say personality type but just um yeah let's just go


general general things that you might ask in a in an interview so let's let's just pretend this is


like a phone screen right so in a general phone screen i've had like a brief look at the resume


but it's more to get a feel so like the first thing that i want to know is like are they


qualified do they have like a baseline of skills to be able to actually like perform the work that


we need them to do and so you know if you're like hey like just tell me a little bit about your


python experience tell me a little bit about a project where you were used xyz um analysis or


tell me like tell me about some other regression projects you've done that's a very typical


question that you might be asked 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 it's


like raw very complex form and so if someone can come in and tell a very good story of like for


example why why are they here why do they want this job you know if it's like you know if it's


you know when i was coming in and i was like hey you know i i've lived this for the last three


years i love everything about this i've played professional golf i understand golf from a very


different perspective than most of the analysts like i'd be a perfect fit for this because i have


the skills and i have uh like the golf knowledge like that's very compelling like probably other


candidates wouldn't have those things uh the last thing which kind of goes along with the


storytelling element is like you you want me it's it's sad and like i am a little biased but like


people that stick out to you or that have um that leave an impression on you or they're going to


have an advantage and i'm you know i'm not saying i i don't go out of my way to like hire people


that i think are like wow that person like i remember that person uh but almost every interviewer


subconsciously like if something is very unique about a person or they've done a very unique


project or something is very relevant to the role like that's gonna stick with you as a recruiter as


as an interviewer uh and that can really help you down the road you know if in my work on my resume


i say that hey i played professional golf that's something that i doubt any real other data science


candidate has has done um and you know like in the back rooms whatever it is when they're talking


about the candidates they were like oh yeah like the professional golfer said this they don't care


about my name they just remember the like brief story that i told so i think that you know using


some you know maybe slight tricks with psychology um and just like leaving an impression but as well


as obviously having the relevant prerequisite skills and being able to do that and being able


to do that with the right skills you can make a great impression on someone uh without without


too much effort but you know these are not these are things you can practice you can practice


telling your story about why this company is very exciting to you or why the role is a great fit for


you yeah well that's i love the point that you said it's it's uh it's um it's one thing to be


able to say for example write code in a in a jupyter notebook end to end and you know exploring


code is a beautiful analysis of some sort of problem ever and there's a incredible insights but


um if someone doesn't understand it well like you said someone who he may not understand code


who's who's probably the person that you're going to be um like having to explain these results too


um well then does it really help and so that that whole whole concept of being able to you're right


it's as much as a skill as learning as to as learning to code is it's being able to take


something that's complex and basically take it into your brain compress it into a way and then


explain it in an understandable fashion to other people that's you're right that's the entire role


of a data scientist and that thing that someone can remember it might not just be like oh you've


got this professional golfer it might be like that your story is telling skill was phenomenal


like that that could be like the thing oh the story that the storyteller was uh they talk about


whoever it was let's say john smith john smith the storyteller was was phenomenal he told us


about this project and he did this and or or she did this and then she did that um so yeah i think


that's a that's a forgotten point and that's a lot of things that um i find as well in like a lot of


online resources that they're they do teach the like the formal skills and whatnot but it's it's


often forgotten about is that kind of that's half the piece of the puzzle is uh okay you can write


the code but it's like now explain it to someone who doesn't know how to code yeah well you know


i i look at the hard skills very much like there's a strategic minimum so yeah like in business terms


in business terms it's like like you just have to pass a threshold right and everyone is considered


like roughly the same i mean if you look at like test scores for like an mba program if you get a


like over like maybe a 700 710 on the gmat they're like okay they've checked that box it's


like a binary variable now not a continuous variable and so i look at the technical skills


very similar it's like can they do the work yes no and then like the um soft skills are actually


like a continuous variable like wow this guy can really communicate information well like that's


going to do a lot for him it's not kenny can communicate it well um or can he not it's like


it's like opposite of what you would expect it to be and in sports it's even more so it's even more


important to be able to communicate because you know we're working with athletes and coaches who


like they aren't necessarily they're brilliant at what they do and and they're they're smart


but they haven't been exposed to like necessarily even what like a linear regression is they don't


necessarily know how to read some of the charts that we use so you have to be even more um you


know creative with how you communicate information because they just haven't been exposed to how


people in business settings even even digest information so yeah i mean maybe that's a little


bit of bias for the work that we do but it's also like you know this is an important skill and it


it does depend on like the subject area i mean there are plenty of roles if you're maybe at


amazon or whatever it is where like if you have to be like a research scientist more and like the


communication isn't as important because you're just building it in a while but i would say more


data scientists like probably 80 20 don't quote me on that is focused on the communication over


the implementation yeah you're i i echo that i was actually just going to say like um whenever


when i was working as a machine learning engineer whenever we go partner out with companies um


they like a lot of the time never like unless we're talking to the engineering team and like


actually implementing it into their uh product offering if we were meeting like for a for some


sort of business meeting or something like that and just discussing the project as a whole it


actually like the code never or like the technical implementation like never came up it was like how


does whatever you're doing like how does that save us time or save us money or or earn like that's


they're like the two things every project like that's all it was talking about it's like oh


this will save six months or and earn 500 000 more or implementing this using these techniques


will save you a hundred thousand dollars per month like it wasn't it did not care like what


algorithm was being used etc etc it was as you said taking the complex which is for some people


is that the actual implementation of the tech stack and then communicating that into they're


the features what are the benefits that they're going to give the business and again that's biased


by my experience but for every company that we met with was uh same thing time well money what's


what problem does this solve i think a perfect metaphor for that is like what is the purpose


of an api endpoint right like a good restful api you are supposed to know what information you send


it and you know what you get back it's as simple as that like you like it should in theory be able


to operate as a black box and like from a business stakeholder perspective if they know what's going


in and they know what they're getting back and it's producing value for them that's all they


really care about and so like you you shouldn't like you can abstract away a lot of the details


but like that's that's how like if you can make it that clear cut and like this is why the value


is created um i mean that that's like a a recipe for good communication and hopefully good um you


know business dealings there so going off that um i've seen you've been making a whole bunch of of


awesome videos of reviewing people's projects and and resumes whatnot it might just be projects


might just be resumes but reviewing it's reviewing the work of others so i would like to know it's


like what are the what like some couple of takeaways that you've noticed like is there


a generality in terms of like how some people could could improve like i suppose everyone


might be different but is there are there any trends that you're seeing in terms of okay i'm


noticing that a few people could improve here and these things are really really like to see from


from the people that you have seen so my best piece of advice for for anyone putting a github


you know portfolio together for a resume whatever it might be is to think about it from the


perspective of the recruiter i mean that's something that i find myself like believing more


and more every time i see more of these things and your job is to make it as easy for them as


possible to believe that you're a good fit for the role or that you're qualified for the role


so if a recruiter is looking through your resume for example the first thing that most recruiters


look at is do they have the technical skills do they have python on their resume do they have


like some of the packages that they use on the job or that are in the job description


my advice is almost always in the us to put that right up top because that's what they're going to


look for first the next thing they're going to look at is probably going to be your work experience


and they want to see that your experience matches like what you'd be doing on the role so like put


that next and then like they might care about your education if if that's not as relevant as your


projects are like you should put your projects next like like think about the things that they


would care about seeing like like let's say you're a um you're a computer science major right that


doesn't really tell them that much but if you put the coursework that you did and you have like an


ai course that you took in school that tells so much more information to the recruiter especially


if you're going to be going into or you're applying to an ai role um the next thing that that doesn't


necessarily um touch on the projects or resumes is that you want to well it does you want to do


projects that are unique to you you want to do projects that are interesting to you like people


want to see like your personality like no one no one hires out of a black box like the interview


process like it's gonna sound terrible but like they kind of have to like you to hire you and um


yeah like you want to show some personality people like like other people that take a stance more


than they like people that are just like hey here here's me i'm very vanilla i'm not memorable and


it goes back to some of the things that i talked about before so i love to see projects where


people analyze their own data that's something that is fascinating to me someone said that project


was one of the most memorable projects i've seen they took all of their own spotify data and they


built like a song recommendation a recommender system for themselves that is someone who like


clearly understands value right like they know how to make something that is valuable to themselves


they've made it like actionable for themselves and a lot of the times i see people focused i guess


this is a whole nother kind of big topic areas i see people way too focused on like the tools that


are used and not focused enough on the business value that's created right um you know they'll


say i used a like a recurrent neural net with like a bunch of different type of um layers whatever it


is to solve some problem and then like they didn't even say what the results were they just said that


they use a recurrent neural net and it's kind of like we want to know what what you produced and


if it was good or bad or like if it was valuable to someone we don't really care what you used to


get them i mean again it goes back to the conversation that we had before if you'd used like


um you know like a remo or like a moving average and it worked just as well as a recurrent neural


net i would way prefer you to use one of those other techniques that is a lot more simplistic


um you know this is concept of occam's razor um yeah we're seeing you use something really complex


you know you're you're you know chilling a fly with a machine gun rather than a fly swatter


right like it doesn't you know like that's not a good practice so that's that oh man i've been


caught in that it's the curse of the the engineer who always wants to use the over engine solution


shiny tool it's like oh look at this new tool like the latest state of the art thing that came out


two days ago and it's like well i need to figure out a way to do that it's it's yeah it's the


it's the what's the call it it's the hammer to a to a person with a hammer everything looks like


a nail like a nail yeah this latest latest state of the art model it's like well i need to find


something to use this state of the art model when uh when all of the other ones would just work just


as good well yeah well maybe not just as good but would result in solving the problem


so yeah i mean those are my main things like if you're trying to get a job again we've touched


on this a little bit before like networking like like differentiating yourself like making friends


like like just talking to people and sharing your work is the best thing you can do like no resume


no a project in theory could get your job but like your resume is not going to get you a job ever


it's just going to like open a couple more doors to give you a higher percentage chance of getting


a job yeah yeah i always like yeah i always like to say like if you're um if you're if you're outbound


requests like you said before you might apply to a 100 jobs or whatever and and uh only get one or


two like if your outbound response rate isn't that good make things come to you and you're


outbound response rate isn't that good make things come to you so that that that's that goes for


sharing your work sharing your projects etc etc you never know who's going to find it but let's um


there's some great takeaways there so if uh if anyone if you want to see those videos i'll make


sure to link um link is there a playlist or something like that i'll link that below whatever


it is um i'll i'll shoot you over all the any anything relevant there you'll find the links


usually find the links um and so i would i would like to know actually like you you've um how long


have you been making videos and why do you think you started making videos and how has that influenced


your idea of the field itself so that's kind of like three-part question so i think my i started


produce my first video was in like no that i posted online was like november of 2018 something


like that and um you know it was actually for a project like a class project and um you know like


it's funny because i i thought i was just like i didn't know how to do an unlisted video so i like


just put it on youtube and i like sent it over to my professor and then i you know i came back a


couple months later i had paid no attention to it and it got like a couple thousand views and i was


like oh like people like this stuff this is you'll find this interesting but you know i also realized


i really liked making it and putting it online so i'd um i did that and then i actually had to do


another one for another one of my courses and then i was like you know what there's been some


traction here like why not produce a couple more like my experience was coming from like management


consulting business background and transitioning into data science there's a lot of people that


that's appealing they realize they like the technical things more and like maybe my story


could help them understand what they need to do you know i wanted to create i think you've said


something very similar i wanted to create the videos that i wish i had had when i was in that


position in my career and so i started making a couple of those and you know i think i didn't


make that many to start like once a month or once every you know like a couple weeks and then at the


beginning you know i think last year i did almost one a week something along those lines and then


this year i really started ramping it up i saw a little bit more traction and um i started to to


really like enjoy interacting with the community i think that there's something in data science that


that i'd like to see more of is this community building i mean that's why i love doing interviews


with yourself with other people on my channel and really starting a dialogue is that data science


and machine learning like what they are like in the job market is really like amorphous still


it's super vague it's not clear and the more good conversations we can have about these fields


the more we can actually like define what this field is and the better definition that we have


the more clear it is for people to get interested the more clear it is for people to like start


doing it so i mean that's like maybe a far loftier goal um than i like started out with but i think


that these things are important like information is important yeah you know i've made my career in


this field i really enjoy it and i'd love to be able to share that with other people make it as


easy if they are um suited for it because data science machine learning is not for everyone i


want to be very clear about that um yeah i will say that this experience like with youtube has


actually helped me with learning and understanding how to get myself more motivated to learn data


science like with youtube i saw this initial success right uh you know i came back and i had


you know a thousand views which to me at the time was a lot and i was like wow like there's traction


right when you're learning anything like traction or little wins or something like that they help


you want to go further and further forward they keep you want to keep going and you know you start


like biting off a little bit more and more and i think with data science with machine learning


if you develop that initial traction like get quick wins like print hello world is a win like


you got something to show up on the screen like like throw fist bump you know celebrate like


that's that's awesome like you you covered it like like you did it you did something like


that's meaningful um and it's important to dance i cannot stress enough how important like celebrate


celebrating your early wins is to building momentum and building traction in in any field


i mean one of the things that really gets me really excites me about producing youtube content


is how good the tracking system is for the metrics like every day it's probably not healthy but like


i can see how i did the previous day i can see how each video did and yeah you know they say what


gets measured gets like managed like like if i see that success in in anything like you want to do it


more you want to see what what what the next thing can do i mean if you have a dip you know oh my god


like this is the worst thing but you gotta become resilient to those things inevitably right


you need what was the ratio something like six times more wins to make up for the feeling of


loss or whatever but uh no i love that that that's um like yeah truth be told like um you've you've


done an amazing job in terms of of building a community i think that that shows in the the


results that you've you've been getting and whatnot um but what i was gonna say is um


like do you have anything like when you first so i think it's kind of like it's a similar thing


i found that when i was like starting out making videos it was um i think yeah you touched on it it


was like curiosity driven it was like there wasn't really like i think maybe now that you you you've


sort of you've you've made some progress and whatnot um you've got like kind of an idea of


what sort of of videos you want to be making next week or next month or something like that but when


you first started out it was it kind of like as you said was it just um it's kind of evolved but


were you just making things that you'd like to think that like that you'd like to have in the


world or was there something like uh did it start out with all the first videos part of um like a


course or did you have other people asking you to to make things or questions you just thought


you know what i'm going to make this uh video to answer that question so probably the better way


of saying what i just said was how how did the journey first start out in those terms of uh


those videos and how did i mean you said how it evolved now to sort of more building a community


but what i'm trying to get at is is it the same that you found with someone working on their own


project as it is to like starting out in in youtube is like a creative endeavor so i think


it's almost an exact parallel so when i was when i was starting out i was making videos that i


thought and then i thought would be helpful to like ken five years ago right um yeah that transition


began to occur you know you do get feedback you're like hey i like videos on these i did a


couple polls like what would you like to see more videos on but at that point it's not that you're


making content for you know at the whims of other people that point is transitioning into creating


value for other people right i mean i think a good data science project is it comes from your


interest but it creates value either for you or for someone else and i think the idea of value and


like yeah you know frankly if you read comments that people are like oh thank you this is so this


helped me out like to me that's an incredible feeling that like you know maybe i mean i i've


had a couple people reach out and say hey like this has helped me get an internship or something


like that and like that like like i want to do backflips like that is like you know that's uh


i'm not gonna say it's one of the best of those backflips man


yeah my back's a little sore already so but you know like that that that to me like that makes


me want to go out and make a million more videos because yeah like like that feeling of like it's


like wow i i helped someone and it was a video that you're like really proud of and you're like


wow like like that had an impact on someone else i mean that's not something you that the that i


think most people really get to experience as frequently as probably we do and like i mean


frankly that's it's like a fairly addicting feeling does it to feel like you've you've done


well by others but well i totally agree like what you just said i think it's it's like it's like i


always say whenever someone says thank you or something like that for something that i've had


like made or whatever it's like it's like a fulfilling self-fulfilling circle like it's like


i'll put something out there and it's it's like a chicken and the egg problem right it's like a


i'll put something out there someone will enjoy it and then that'll fuel the next thing


and then it's it works it it just keeps working in this like perpetual loop so that's like originally


when i first like started studying this that's why i put out my own self-curriculum because i


was like well i want to it comes back to what you're saying with the community building thing


that's what i found with this with this whole community as is uh like everyone's out there to


basically help each other it's like if you got a question like people are more than happy to answer


it's like here go here try this figure it out and then i always feel like i've never thought of


myself as as uh as as special or any different like it's just like i i just like to work on


things that that i i like to work on and put put videos out there and just like you said


if someone like finds value in that well then that's that's absolutely like phenomenal and


then that just makes me wanted to do it more so well it's a beautiful i i think it is important


to make it clear that like you and i like in some ways we're probably special like like


her mom says we're special right or something like that right but i well well you're special


again but you know like i don't think we're special in the sense of that you know uh in


terms of me i i by any means i'm not like the greatest data scientist ever or anything like


that it's just that like i i like sharing my experiences you know i make mistakes i


you know there's definitely more things that i've done wrong than i've done right but you know it's


important to note that like i think for a lot of people that like we're just like you guys you know


like we we run into the same things like i've been rejected from zillions of interviews or you know


like but eventually you know like like i got one and like that's you know there's no there's no


like golden boys here it's just that like we're hopefully sharing our experiences so that other


people can learn from them and like ideally that our experiences are like pretty normal experiences


um yeah but but like most people don't have insight into normal experiences all the time yeah


you're totally right um so we're still waiting on that secret ken if you just want to just let us


know like we need that secret sauce um we're kind of we're kind of fairly deep into this interview


mate so if you could share that secret for interviews i'd like to know which which secret


is this the the best secret or the special sauce man the special sauce what do they put in okay


let's uh we've been through some some amazing things um let's uh you said right at the start


actually oh we've got too many devices going off that's the curse of having smart devices in your


room um if you were to start this is a fun one if you were to start learning again today


uh of course you can't like pretend that you don't know anything about the field but uh


if you were to start again what would you what would you do how would you approach it


so i you know i actually am starting to learn data science over again i'll probably have some


videos on this coming up but you know i realized that like a lot of people who are viewing my


content are really at at the beginning they're at the starting line and like i think it's fun to like


i think it's fun to like experiment with that like everyone should the smartest data scientist


in the world is probably is like still a student right like there's this is an endless frontier


and like to go back to some of the beginning concepts and really reinforce them i think it's


something that that everyone should do at some point in your career multiple times like understanding


how like um you know like a naive base classifier works like conditional probability those types of


things like like you forget them like you go back i like i am constantly astounded by how much stuff


i used to know and i have now forgotten and so it's like why not start from ground zero again and


um if i had to do it again i think i would have really focused more on implementation than i did


i don't think i would have needed to go through any of the school that i did to be able to become


a data scientist i mean i do think like having a master's degree does help like that's one like


box to check but if you spent the same amount of time doing projects as you as you would have spent


in a master's degree you would be like zillions more times hirable um than you know with the


project experience over the over the master's experience but i kind of digress so what i would


start with you'd have a fair bit more cash in your bank too sounds like yeah exactly so i would start


there's one thing that i think i did really well and i started with a problem and i would start


with a problem again and the problem would be like i would try and find the specific tools that i


needed within data science to solve that specific problem and then i'd find another problem i was


really excited about and i'd figure out exactly what tools i needed to solve that problem and then


eventually i'd start trying to design problems based on the toolkits that i wanted to learn


so an example is like let's predict how many points a team is going to score in a basketball


game that is a clear regression problem right another problem where i'd want to focus on


classification would be if i wanted to predict if a team would win or lose a game so like designing


the problem dictates the actual um solutions that you that you use and that you are are building


towards it builds your like learning roadmap and so i would just start thinking of like problems


for each type of algorithm problems for each type of concept and go about it uh through that approach


i i think that that's very backwards to what i did before you know i'm someone that reads the whole


instruction manual before i build like a like an ikea table um and i think that works for ikea


tables but i don't think that that works well for learning a field that's not as structured like data


science um so you know doing that you also develop the business logic you also develop a lot of


different types of intuition that when you're reading from a textbook and then trying to


trying to do it after the fact you don't develop you know i wish i had actually struggled with


problems quite a bit more than than i did i wish i had like really tried to optimize i wish i'd


really experimented more than i did um you know i think i'm making up for that now with some of


the projects i do and and you know through video creation and things like that um but i you know i


also would have had a lot more to show for my work than i did you know if you're doing problems on


everything you're gonna have 50 github uh repos in no time you know if you do you know like one


repo for every different algorithm that's out there that you use and just classification you'll


have 10 20 so yeah uh you know i think just flipping the question you know flipping the


problem around and breaking it into small chunks is absolutely um the way i would go about it now um


i would also probably rather than focusing on you know just one thing and working off of that


i would try and supplement uh i would break everything down by like the problem or the


category so if i wanted to to learn like logistic regression i would try and find 10 different


sources on logistic regression and go through each of them and find you know two or three that


i like best and try to implement it that way i think that what i realized over time is that like


with some concepts like some resources really speak to me and some resources don't and like


it's not that the ones that don't speak to me aren't good resources for someone they just didn't


make as much sense to me so you know if you're learning this in school right you have one


textbook that you're probably going off of right and if the textbook doesn't tell it to you in a


way that's compelling to you that doesn't explain it in a way that like resonates with you like


you're gonna have a lot of trouble with that topic so like use youtube use medium use use all of these


different resources textbooks whatever it is like among the 70 different ways that someone explains


the same thing you'll probably find one that makes like a lot of sense with you and it's it's worth


just exploring a little bit um to find your learning style dude i love it i love it i love


it that's what yeah i'm the same remix it remix yeah remix everything you find with your own own


style and then yeah copy others until you create your own style so try a heap of different things


and uh experiment experiment experiment well dude it's been absolutely phenomenal um thank you thank


you thank you for all the work that you put out there i'm sure everyone who's watched this video


is going to absolutely love it if they do have uh questions feel free to leave a comment or


something like that i'll leave all of all of ken's links and things that he's mentioned in the place


that you can find links but ken where should um people want to find more on you more about you


where do they go so the biggest one is on youtube you just kenji is my name i'm that's my also my i


guess youtube handle is what they call it uh twitter is kenji underscore ds and then linkedin


is also my name i i'm still at this point trying to respond to most of the comments that i get


so you know i love engaging um you know if you have very specific questions for yourself you


know i'm always trying to help and i do try and do resume reviews and project reviews uh and make


videos on that so those are all good options to reach me and you know i look forward to interacting


with everyone i think that you know i love what daniel's doing thank you so much for for having


me on here and you know hopefully we can do more stuff like this it's all about kind of building


this community and i i've had so much fun you know meeting new people like yourself and it's just


really awesome i love it man i love it i think you're going to get a few more uh backflip inducing


comments coming your way so uh so we stand back up brother yeah anytime soon the kenji backflip


SLEEP YOUR WAY TO FAT LOSS

Hello everyone, welcome back to another episode of the Daniel Burke Show. Thank you so much for tuning in wherever you are, podcast, YouTube, outer space, who knows.


SLEEP YOUR WAY TO FAT LOSS

But, this episode is a treat, it's a treat for me as well actually. Doing all the research for it, I've got all these notes here, I read practically a whole book.


SLEEP YOUR WAY TO FAT LOSS

What it's about, it's about sleep. And so, mainly focused towards sleep in the role of weight loss and then we'll end it up with some action steps you can take to get better sleep.


SLEEP YOUR WAY TO FAT LOSS

So I'll break it down, three parts to this episode. Part one will be just a brief little overview about sleep because, as you can imagine, I dug into the rabbit hole.


SLEEP YOUR WAY TO FAT LOSS

I looked into why the body needs sleep and all this other stuff and there is so much. There's books, studies, thousands, millions of studies.


SLEEP YOUR WAY TO FAT LOSS

I'm not sure about millions of studies but definitely millions of participants in thousands of studies.


SLEEP YOUR WAY TO FAT LOSS

But yeah, not enough time to explain it all in one video but I just thought I'd probably get the ball rolling in terms of bringing awareness in terms of sleep, overall health and it's wrong weight loss


SLEEP YOUR WAY TO FAT LOSS

and how to get better sleep. So, part one, overview. What exactly is sleep? So if we look into it, it's a, you can't really describe it with one definition.


SLEEP YOUR WAY TO FAT LOSS

The best way I sort of look at it is just literally recovery for the body, for the body and mind, both physical and mental, of course.


SLEEP YOUR WAY TO FAT LOSS

And I think that's could be universally agreed upon by most people. And if you think about sleep, it's really the force multiplier of everything in life.


SLEEP YOUR WAY TO FAT LOSS

And I like to think of it in a health triangle. So you've got, or a health pillars or three health pillars or whatever you want to call it.


SLEEP YOUR WAY TO FAT LOSS

You've got sleep, nutrition, exercise, right? And to me, this is coming from a person who has a nutrition degree, I would rate sleep in my world as number one as important.


SLEEP YOUR WAY TO FAT LOSS

So that's the foundation level of the health triangle, right? Illuminating. So sleep, number one, nutrition and then exercise in my point of view.


SLEEP YOUR WAY TO FAT LOSS

Like that's the health triangle. And so what does sleep play a role in? It can improve your memory retention, muscle recovery, hormone regulation, alertness.


SLEEP YOUR WAY TO FAT LOSS

Good sleep can literally make you look better, helps with your skin, skin tone, skin recovery, etc. like that. Boost in testosterone. Hence the term beauty sleep.


SLEEP YOUR WAY TO FAT LOSS

I'm not sure if that came from there. Maybe. Who knows? And so how does sleep start, right? So during the day, you wake up, you go throughout your day, the body's producing ATP.


SLEEP YOUR WAY TO FAT LOSS

And the breakdown of ATP, which is ATP to ADP, don't worry too much about that. That's just the energy that body uses, ATP, results in an increase in adenosine in the body, which is a hormone.


SLEEP YOUR WAY TO FAT LOSS

And then that's or a neurotransmitter, I can't remember which one they got so mixed up with the amount of hormones and neurotransmitters I found out about today.


SLEEP YOUR WAY TO FAT LOSS

And the buildup of adenosine essentially, over time, by the end of the day makes us tired. Right? So that buildup is what gets cleaned away when we go to sleep.


SLEEP YOUR WAY TO FAT LOSS

And fun fact about caffeine is that caffeine is actually an adenosine blocker. So when you consume caffeine, it blocks my dogs knocking on my door, it blocks the neuro receptors for adenosine.


SLEEP YOUR WAY TO FAT LOSS

So it's sort of that's why when you get that caffeine crash, it's because all of a sudden, all the adenosine you've built up over time in over the day in your body is hitting those neurotransmitters all at once.


SLEEP YOUR WAY TO FAT LOSS

And you get that really increase, well, you get really tired all of a sudden. And that's why caffeine wakes you up is because it sort of it blocks the adenosine transmitters in your brain.


SLEEP YOUR WAY TO FAT LOSS

And sort of doesn't tricks the brain into thinking that there's not as much adenosine in the body as there actually is, which is what causes you to be tired.


SLEEP YOUR WAY TO FAT LOSS

So that's a brief overview of sleep. And now we're going to part two sleep and weight loss. So when you consider weight loss, hormones should be your number one thing that you think about.


SLEEP YOUR WAY TO FAT LOSS

And although like this is sort of not not as easily measurable as something like calories in versus calories out. It really is the hormones in your body that sort of have really control how your body fluctuates and sleep is the number one regulator for the hormones in your body.


SLEEP YOUR WAY TO FAT LOSS

So when your hormones are in balance, when you're getting good sleep, good adequate sleep, you consider your life to be like in balance as possible chemically.


SLEEP YOUR WAY TO FAT LOSS

There could be other factors influencing how you're feeling and whatnot day to day. But on a chemical level, if you're sleeping good, eating good eating the right foods, your hormones will be in balance.


SLEEP YOUR WAY TO FAT LOSS

And so let me tell you a story. So in the past, I've competed in men's physiques and bodybuilding shows, and I dramatically cut calories for an extended period of time to lose weight to get well to lose fat to get lean enough to go on stage.


SLEEP YOUR WAY TO FAT LOSS

But contrary to like, what I thought at the time, and what I've recently learned, learning all this stuff about sleep and hormones and whatnot, is that the way I was probably actually losing 70% or studies have shown up to 70% of weight you lose when you cut calories is muscle, which is not ideal, which is what I want to keep right.


SLEEP YOUR WAY TO FAT LOSS

So and if you see my metabolism video, if you haven't checked it out, muscle is the number one fat burning tissue on the body, right? So well, number one, number one calorie consumption tissue on the body.


SLEEP YOUR WAY TO FAT LOSS

And if you're losing weight in a calorie, like restricted way, and you're also losing muscle, well, then you're decreasing your metabolism because muscle contributes to majority of fat burning in the body. And when you decrease your metabolism, like you, you're sort of creating a recipe for disaster in the future, although you're losing weight, you're also losing muscle consuming less calories, reducing your metabolism, and yeah, creating a recipe for that.


SLEEP YOUR WAY TO FAT LOSS

Creating a recipe for disaster in the future for future fat gain.


SLEEP YOUR WAY TO FAT LOSS

So when you consider weight loss in the sense of the term that that I've previously done by just reducing calories for a long period of time, maybe that's not your goal, because that resulted in muscle loss, well, 70, up to 70% of weight loss is just muscle.


SLEEP YOUR WAY TO FAT LOSS

So realistically, fat loss is most people's goal. That's what it should be referred to as.


SLEEP YOUR WAY TO FAT LOSS

So eating foods that are micronutrient dense, such as vegetables, green leafy plants and whatnot, can help with the body's secretion of a hormone called leptin.


SLEEP YOUR WAY TO FAT LOSS

And so I won't go too much into details about which ones which micronutrients are best and whatnot, as long as you're sort of eating a wide range of colored different vegetables, and green leafy, like nuts as well and things like that, you should be hitting all your goals with with the micronutrient intake.


SLEEP YOUR WAY TO FAT LOSS

And what leptin does is it gives the body the feeling of satiety, or the otherwise known as a feeling of being satisfied after eating or feeling full.


SLEEP YOUR WAY TO FAT LOSS

And what that results in if you get that feeling, well, you won't be sort of urged to eat more stuff, right?


SLEEP YOUR WAY TO FAT LOSS

When you're when you're feeling full and satiated, the body's not sort of always itching for more foods.


SLEEP YOUR WAY TO FAT LOSS

Now, how does this hormone relate, leptin relate to sleep?


SLEEP YOUR WAY TO FAT LOSS

Well, as we previously mentioned at the start of the video, sleep helps the regulation of hormones.


SLEEP YOUR WAY TO FAT LOSS

So proper sleep can help with the regulation of leptin.


SLEEP YOUR WAY TO FAT LOSS

A study from Stanford showed that students or participants in the study that were sleep deprived had poorer generation of leptin after eating meals.


SLEEP YOUR WAY TO FAT LOSS

And so they would even even eat a micro despite their diet, sorry. So even eating a micronutrient rich diet on a lack of sleep,


SLEEP YOUR WAY TO FAT LOSS

which dramatically reduced the effect of leptin, thus didn't give them that satiated feeling, thus led them to wanting more calories,


SLEEP YOUR WAY TO FAT LOSS

thus consuming more calories, which can ultimately lead to fat gain.


SLEEP YOUR WAY TO FAT LOSS

So we're considering weight loss, think fat loss, and when considering a massive reduction in calorie intake, think balancing hormones first.


SLEEP YOUR WAY TO FAT LOSS

And how can you do that? Well, with better sleep and intake of whole foods to increase your overall micronutrient intake.


SLEEP YOUR WAY TO FAT LOSS

Now, of course, there's much more to this, but I'll leave you to do your own research on Dr. Google


SLEEP YOUR WAY TO FAT LOSS

and sort of find out more in the role of sleep and hormone regulation and fat loss and other benefits of sleep.


SLEEP YOUR WAY TO FAT LOSS

But now we'll go on to part three. We've got some action steps to help you improve your sleep.


SLEEP YOUR WAY TO FAT LOSS

Now, most of these I've tried myself and I do them on a daily basis.


SLEEP YOUR WAY TO FAT LOSS

Some of them I haven't actually tried, so I can't speak from experience, but I will tell you which ones I have tried and which ones I haven't.


SLEEP YOUR WAY TO FAT LOSS

So we're going to number one, remove caffeine consumption or don't consume caffeine after 2pm.


SLEEP YOUR WAY TO FAT LOSS

Why? Well, remember at the start of the video, we remembered that the buildup of adenosine over the day of the body breaking down ATP into ADP


SLEEP YOUR WAY TO FAT LOSS

or just essentially producing energy causes the body at night to get tired.


SLEEP YOUR WAY TO FAT LOSS

And what does caffeine do? Well, it blocks the neurotransmitters in the brain that recognize high levels of adenosine, thus preventing us going to sleep.


SLEEP YOUR WAY TO FAT LOSS

And why 2pm? Well, this time is a bit arbitrary. It sort of depends on what time you want to go to sleep.


SLEEP YOUR WAY TO FAT LOSS

Now for me, it would be around 10pm and I'll sleep until around 6pm.


SLEEP YOUR WAY TO FAT LOSS

And so I want to... caffeine has a half-life of six hours.


SLEEP YOUR WAY TO FAT LOSS

And so if I consume my last coffee or tea or something before 2pm, I've got a six-hour window that my body will still contain caffeine


SLEEP YOUR WAY TO FAT LOSS

and it should taper off by about 8pm, leaving me plenty of time to get ready for sleep at 10.


SLEEP YOUR WAY TO FAT LOSS

Now, of course, you can change this up depending on what time you want to go to sleep, but just try and make sure at least six hours before you want to be asleep, don't consume caffeine.


SLEEP YOUR WAY TO FAT LOSS

Number two, no screens one to two hours before bed. And so why is this?


SLEEP YOUR WAY TO FAT LOSS

Well, because the exposure to blue light, which is what comes out of these screens,


SLEEP YOUR WAY TO FAT LOSS

sort of hinders our ability to sort of start producing the hormones that we need to induce sleep.


SLEEP YOUR WAY TO FAT LOSS

And if we're looking, if you're guilty of being one of these people that sort of looks into the screen in bed, scrolling through various social media feeds,


SLEEP YOUR WAY TO FAT LOSS

that light is going straight to your eyes and sort of preventing you from going to sleep.


SLEEP YOUR WAY TO FAT LOSS

And now why I like to sort of mitigate this is by using night shift on my devices, which is built into the Apple software.


SLEEP YOUR WAY TO FAT LOSS

There's probably an equivalent app on Android or f.lux on Mac or PC, which takes the blue light out of the screen as the sun starts to go down.


SLEEP YOUR WAY TO FAT LOSS

And so by the end of the night, well, if you're up late using your devices, you'll notice that the screen is pretty orange.


SLEEP YOUR WAY TO FAT LOSS

Well, at least I think it's orange.


SLEEP YOUR WAY TO FAT LOSS

And so my, I don't know the science behind this. There's definitely lots of science behind it. I encourage you to check it out.


SLEEP YOUR WAY TO FAT LOSS

And I'd love to hear about it. If you find out more, leave it in the comments.


SLEEP YOUR WAY TO FAT LOSS

But my logic is that sort of if you go off a human body, like how we've evolved, blue light is from the sky.


SLEEP YOUR WAY TO FAT LOSS

And so that's when we're awake. And orange light is when we're going to sleep,


SLEEP YOUR WAY TO FAT LOSS

which is equivalent to us lying next to a fire at night in the tribe.


SLEEP YOUR WAY TO FAT LOSS

And now, of course, that's just that's not science back. I'm just sort of that's how I think about it in my head.


SLEEP YOUR WAY TO FAT LOSS

And so that's number two. No screens, one or two hours of full bed.


SLEEP YOUR WAY TO FAT LOSS

Number three, complete darkness in your room or wherever you sleep.


SLEEP YOUR WAY TO FAT LOSS

So just like the screen, like point two, the screen emits blue light and sort of keeps us awake, like deregulates our body's ability to produce the correct hormones to put us to sleep.


SLEEP YOUR WAY TO FAT LOSS

If you've got a flashing light in your room, which is if you have a TV on standby or or something else,


SLEEP YOUR WAY TO FAT LOSS

the ideal like situation is to put black tape over that to mask it out.


SLEEP YOUR WAY TO FAT LOSS

And if you have windows in your room like I do here, mine's probably not the perfect example.


SLEEP YOUR WAY TO FAT LOSS

But blackout curtains can really help to keep it dark because you want it as dark as possible to watch.


SLEEP YOUR WAY TO FAT LOSS

You shouldn't be able to see your hand in front of you. Like that's that's a good level of darkness.


SLEEP YOUR WAY TO FAT LOSS

And again, this is going back to sort of that that hormone regulation that helps induce induces sleepiness.


SLEEP YOUR WAY TO FAT LOSS

So number four, so magnesium came up a few times in the research that I was doing.


SLEEP YOUR WAY TO FAT LOSS

So I'll be honest, I haven't tried this one, but it came up enough in the research of like papers and books and whatnot and videos that I thought it was adequate to sort of have here.


SLEEP YOUR WAY TO FAT LOSS

And I'm not sure of the exact pathway that it does. All I know is that it can help in the production of hormones.


SLEEP YOUR WAY TO FAT LOSS

And again, it comes back to these hormones. Like once the hormones are in balance, the you're in a good place.


SLEEP YOUR WAY TO FAT LOSS

And so production of sleep hormones and sort of helps with the sleep wake cycle and things like that.


SLEEP YOUR WAY TO FAT LOSS

But also, don't forget, you don't have to supplement these things if you're having a micronutrient dense diet.


SLEEP YOUR WAY TO FAT LOSS

And so what does that mean? So high intake of green leafy vegetables, other plants, seeds, nuts, dairy, things like that.


SLEEP YOUR WAY TO FAT LOSS

Well, not so much dairy, but vegetables, think different colours of vegetables is the best.


SLEEP YOUR WAY TO FAT LOSS

You're probably hitting your micronutrient daily recommendation of magnesium.


SLEEP YOUR WAY TO FAT LOSS

If you're not, you can find this out by tracking your foods like using MyFitnessPal or other various calorie counting things.


SLEEP YOUR WAY TO FAT LOSS

Make sure they track the micronutrients as well.


SLEEP YOUR WAY TO FAT LOSS

If you're not hitting about 400 milligrams a day for male and 320 milligrams a day for female, you may want to have some sort of magnesium supplement.


SLEEP YOUR WAY TO FAT LOSS

Number five, get more sunlight during the day.


SLEEP YOUR WAY TO FAT LOSS

And this is another one where hormones come into play.


SLEEP YOUR WAY TO FAT LOSS

There's neurotransmitters in the eye that sort of when you look into bright natural light or sunlight that activate serotonin.


SLEEP YOUR WAY TO FAT LOSS

And what serotonin does is it plays another role in the sleep wake cycle.


SLEEP YOUR WAY TO FAT LOSS

I don't know the exact pathway, but it is another hormone that's important in sleep.


SLEEP YOUR WAY TO FAT LOSS

Virtually every hormone is important in sleep.


SLEEP YOUR WAY TO FAT LOSS

But natural light on whether it's exposed to you walking, looking outside or on your skin helps with the regulation of serotonin.


SLEEP YOUR WAY TO FAT LOSS

And now from the research that I did, it said the body is most sort of sensitive to this light between the hours of six and eight in the morning


SLEEP YOUR WAY TO FAT LOSS

or when the sun's coming up or sun's just come up depending on where you live, of course.


SLEEP YOUR WAY TO FAT LOSS

And natural light is important because it's the brightness that sets off these hormones, these neurotransmitters.


SLEEP YOUR WAY TO FAT LOSS

It's what's contained in the light, the UVA, the UVB and other things like that.


SLEEP YOUR WAY TO FAT LOSS

And natural light is up to 100 times brighter than artificial light.


SLEEP YOUR WAY TO FAT LOSS

So the light you have indoors or even on a shady day, natural light is still 10 times brighter than the brightest of lights you can have indoors.


SLEEP YOUR WAY TO FAT LOSS

So that's number five. Expose yourself to some sun. It's good to get outside as well.


SLEEP YOUR WAY TO FAT LOSS

No one likes being stuffed up inside all day. Well, maybe, I'm not sure.


SLEEP YOUR WAY TO FAT LOSS

So number six, track your sleep.


SLEEP YOUR WAY TO FAT LOSS

Now, I've sort of done this a couple of times, but I've also sort of stuck to number two, which is not using any devices before bed.


SLEEP YOUR WAY TO FAT LOSS

So I don't get an exact reading. And what do I mean? So like track your cycle.


SLEEP YOUR WAY TO FAT LOSS

So if there's a whole bunch of apps like sleep cycle, pillow, a whole bunch of other things that you can sort of use your smartphone or smart device,


SLEEP YOUR WAY TO FAT LOSS

even if you have a Fitbit or something like that to track your sleep.


SLEEP YOUR WAY TO FAT LOSS

And now why? What could you do with this? So much like if you were to track your calorie intake,


SLEEP YOUR WAY TO FAT LOSS

you could sort of see how your micronutrient level intakes are going.


SLEEP YOUR WAY TO FAT LOSS

Tracking your sleep can sort of allow you to understand when you get the best sleep.


SLEEP YOUR WAY TO FAT LOSS

So maybe one day you did some physical activity in the morning and you found you slept really well that day.


SLEEP YOUR WAY TO FAT LOSS

Or maybe the next day you worked out later in the evening and you didn't sleep that well.


SLEEP YOUR WAY TO FAT LOSS

So then you can sort of think, OK, maybe if I try to work out more in the morning, I'll get a better night's sleep.


SLEEP YOUR WAY TO FAT LOSS

So these sort of once you once you track it for long enough, you can start to best understand your sleep cycles and whatnot.


SLEEP YOUR WAY TO FAT LOSS

And then you can use that information to improve your sleep in the future.


SLEEP YOUR WAY TO FAT LOSS

So that's number seven or number six, more like it. Track it.


SLEEP YOUR WAY TO FAT LOSS

And I haven't really done this one myself, but it came up in the research that I was doing a lot.


SLEEP YOUR WAY TO FAT LOSS

So maybe you could try it out.


SLEEP YOUR WAY TO FAT LOSS

So number seven, create a sleep ritual. So I pretty much do this every night.


SLEEP YOUR WAY TO FAT LOSS

It's like a shutdown ritual, like I'll turn my screens off as at least I'll try within at least an hour before bed.


SLEEP YOUR WAY TO FAT LOSS

I've got the bedtime setting on the iPhone. If you go into the clock app, it will send you a reminder up to an hour before you want to actually be going to sleep.


SLEEP YOUR WAY TO FAT LOSS

I've got an alarm set as well for I think it's eight and a half hours or so.


SLEEP YOUR WAY TO FAT LOSS

That's just after trial and error of seeing how long I should be sleeping for.


SLEEP YOUR WAY TO FAT LOSS

Not really tracking it. But yeah, bedtime ritual.


SLEEP YOUR WAY TO FAT LOSS

So mine will sort of be I'll brush my teeth. I'll make sure all the devices are off my room.


SLEEP YOUR WAY TO FAT LOSS

Make sure it's as dark as possible. Turn the bed light on, which is a really soft light.


SLEEP YOUR WAY TO FAT LOSS

And I'll just read until I can't really, I don't know, can't really read anymore.


SLEEP YOUR WAY TO FAT LOSS

I'll turn the light off, close the book and go to sleep.


SLEEP YOUR WAY TO FAT LOSS

That's that's my personal ritual. Nice and simple. Brush teeth, read for 15 to 20 minutes, and then I naturally fall asleep.


SLEEP YOUR WAY TO FAT LOSS

And this is I usually go to bed between 10.30 and 11.


SLEEP YOUR WAY TO FAT LOSS

I have a sort of like half an hour buffer window and then wake up sometime between 6.30 and 7.30.


SLEEP YOUR WAY TO FAT LOSS

It's yeah, there's another sort of window there.


SLEEP YOUR WAY TO FAT LOSS

But yeah, that's number seven. Create a bedtime ritual.


SLEEP YOUR WAY TO FAT LOSS

Number eight and the final tip.


SLEEP YOUR WAY TO FAT LOSS

A lot of people I find in the like in the online forums and stuff like that and the blogs and whatnot have sleeping problems like insomnia and whatnot.


SLEEP YOUR WAY TO FAT LOSS

And now, of course, what I've listed through here, like the previous eight tips can definitely help with that sort of stuff.


SLEEP YOUR WAY TO FAT LOSS

What I found in the past helps with me if I literally am lying in bed and I can't sleep is to just go with it.


SLEEP YOUR WAY TO FAT LOSS

And now I've done this with with naps. I do this almost every few days as well.


SLEEP YOUR WAY TO FAT LOSS

This is how I take naps. And what I what I mean by just go with it is every time you sort of try or keep trying to go to sleep.


SLEEP YOUR WAY TO FAT LOSS

Your chances are you won't fall asleep.


SLEEP YOUR WAY TO FAT LOSS

But when you just lie there and just go instead of making the goal for you to to go to sleep, which often the goal just keeps getting further and further away.


SLEEP YOUR WAY TO FAT LOSS

The more you try to go to sleep, it's just go with it.


SLEEP YOUR WAY TO FAT LOSS

So rather than in the case of my naps, I say rather than think to myself, I don't really say it.


SLEEP YOUR WAY TO FAT LOSS

I think to myself, I'm going to lie down for 20 minutes and that's it.


SLEEP YOUR WAY TO FAT LOSS

That's it. That's it. My goal is to just lie down and do nothing for 20 minutes.


SLEEP YOUR WAY TO FAT LOSS

And most often times I will fall asleep within that 20 minutes.


SLEEP YOUR WAY TO FAT LOSS

Rather than in the past I've gone, OK, I'm going to have a 20 minute nap now and I've just been rolling back and forth restless because I'm not having a nap.


SLEEP YOUR WAY TO FAT LOSS

The same principle goes when falling asleep.


SLEEP YOUR WAY TO FAT LOSS

Well, for me anyway, this is work for me.


SLEEP YOUR WAY TO FAT LOSS

Rather than sort of telling myself I'm going to sleep now when I can't sleep.


SLEEP YOUR WAY TO FAT LOSS

I'm just going to I say I think I think to myself, I'm just going to lie here and be relaxed.


SLEEP YOUR WAY TO FAT LOSS

And then oftentimes I will just fall asleep without even knowing.


SLEEP YOUR WAY TO FAT LOSS

So that's tip number eight. Just go with it.


SLEEP YOUR WAY TO FAT LOSS

So make the goal something you can definitely achieve rather than sort of think of the analogy.


SLEEP YOUR WAY TO FAT LOSS

If you have a coin in like your car seat, in the crease of the car seat and the further you go to grab the coin, the further it falls back.


SLEEP YOUR WAY TO FAT LOSS

I don't know if you've ever had this before, but this is this is how I think about it.


SLEEP YOUR WAY TO FAT LOSS

I don't know where I got the analogy from, but the further you try to grab it, the further the coin slips away.


SLEEP YOUR WAY TO FAT LOSS

So make the goal rather than sort of falling straight to sleep, have the goal as being being relaxed.


SLEEP YOUR WAY TO FAT LOSS

And oftentimes you might find that you will just drift off asleep anyway.


SLEEP YOUR WAY TO FAT LOSS

So that's been eight tips on how you might sleep better.


SLEEP YOUR WAY TO FAT LOSS

Now, they're all free.


SLEEP YOUR WAY TO FAT LOSS

They're all something you could try today.


SLEEP YOUR WAY TO FAT LOSS

If I wouldn't suggest jumping in and trying all of them straight away, maybe except for the magnesium supplementation.


SLEEP YOUR WAY TO FAT LOSS

That one is potentially not free.


SLEEP YOUR WAY TO FAT LOSS

But I don't know, try one of them, see how it goes.


SLEEP YOUR WAY TO FAT LOSS

And if it helped or if you've got your own tips, I'd love to hear about it.


SLEEP YOUR WAY TO FAT LOSS

Put in the comments or send me an email.


SLEEP YOUR WAY TO FAT LOSS

My email is Daniel at MrDberg.com.


SLEEP YOUR WAY TO FAT LOSS

And now again, what I've gone through here, like the sleep for weight loss, the benefits of sleep is really only scratching the surface.


SLEEP YOUR WAY TO FAT LOSS

And if I'm honest, out of all the reading that I've done, like it involved reading a 300 page book on sleep.


SLEEP YOUR WAY TO FAT LOSS

And I'll link that in the description as well by Sleep Smarter by Sean Stevenson.


SLEEP YOUR WAY TO FAT LOSS

And I'll link all the results I use in the description as well.


SLEEP YOUR WAY TO FAT LOSS

What I did find is that although we sort of understand the importance of how important sleep is on a whole,


SLEEP YOUR WAY TO FAT LOSS

we still, like as an entire human race, we're only scratching the surface of what the benefits are, what actually happens during sleep.


SLEEP YOUR WAY TO FAT LOSS

There's so much research going on, it's not funny.


SLEEP YOUR WAY TO FAT LOSS

It's actually really cool to learn about in my opinion anyway.


SLEEP YOUR WAY TO FAT LOSS

So make sure whatever I've said to you, you test it out or if not, give me some feedback, give me some advice on how I can improve it in the future.


SLEEP YOUR WAY TO FAT LOSS

And if anything helped, I'd love to hear about it.


SLEEP YOUR WAY TO FAT LOSS

Again, comments or my email, donyallmissthevideowork.com


SLEEP YOUR WAY TO FAT LOSS

And if you want to see any other topics in the future, just let me know, my email.


SLEEP YOUR WAY TO FAT LOSS

Otherwise, thank you for watching. Thank you for listening.


SLEEP YOUR WAY TO FAT LOSS

Like this video if you want to see more and subscribe to my channel.


SLEEP YOUR WAY TO FAT LOSS

I'm trying to release health and fitness videos at least once a week.


SLEEP YOUR WAY TO FAT LOSS


A Day In The Life Of A Machine Learning Engineer | Learning Intelligence 36

Morning! Today's research day at Max Kelsen. I'm excited. We've dedicated, or the ML team


have dedicated Mondays to reading papers and looking up new ways of doing things. Give


me a second. I need to open this gate. Keep the parties out. I'm not entirely sure what


we'll be exploring. I think it'll be something to do with maybe reinforcement learning or


PyTorch. We've been really wanting to start learning PyTorch lately. But whatever it is,


whatever we end up diving into, as long as the other tasks that we have to do are taken


care of, like writing reports and working on client projects to get into some research.


Thanks, Rye.


You know, after years of a whole life living in Brisbane, I never knew this bridge existed.


Well, I'd seen it, but I'd never been through it. Look how cool it is. Just like a tunnel


over the street. All these new places you can find. You just go exploring a little.


I'm gonna go get some coffee and do some writing.


Morning. How are you? Excellent. How are you? Can I sit inside? Yeah, of course.


How cool is this general? Actually, how cool is this cafe? Check this out. Motorbike, motorbike,


motorbike. Epic artwork. About half a dozen motorbikes down there. I don't yet know how


to ride a motorbike, but I will learn one day. Sorry, Mum. Now I just finished riding.


It took a bit longer than I thought. I gotta get to work.


It's been a real productive morning. Actually, it's about 2pm now, so lunch is a little bit


late, but that's all right. Been having fun. That's a word I've been trying to swap out


actually. Everything's falling over this table has ridges in it. Is swapping out busy for


productive? Right, because I think, I'm not the biggest fan of the word busy, because


I mean, busy to me sounds like you've got so many things going on, but productive, simple


little word change and makes all the difference. Do you want to eat lunch, Link? Nah, that'll


be a bit boring. Let me tell you the good stuff. I'm gonna eat this because I'm starving


and then we'll go for a walk of what I've been up to on research day. It's been real


fun. Peanut butter is well and truly my favourite food. Only the ones that are 100% peanut butter.


Actually, almond butter is my favourite food. Peanut butter is a close second. The ones


you have in your own jar, you can eat straight from the jar. That might offend some people.


But, enough eating. Let's go for a walk. So we started off the morning reading a Medium


article which discussed the state of the art play Montezuma. Montezuma is like a 2D game.


And the state of the art play was deep-mined and open AI releasing algorithms which can


essentially solve the game. Play it better than any human getting tens of thousands of


points. Why were we doing that? Because the theme for research over the next few Mondays


is to explore reinforcement learning. Why? Well, a couple of weeks ago we entered a competition


for open AI. We didn't do too very well. Our algorithm sort of finished up with Sonic just


jumping randomly up and down on the screen. So, in light of that, we'd like to do a little


bit better on the Pommelmann competition. And what's that? And all of this will be linked


in the description. The Pommelmann competition is a different version of Pommelmann. Essentially


with more than one player. It's just an 11 by 11 screen. You've got characters and they


move around and they drop bombs and whatnot. And so our goal is to enter that competition


with a reinforcement learning algorithm of sorts, hopefully coded from scratch, and then


see how we go. So that's what we're going to dedicate Mondays for over the next few


weeks. And I mean, will we get anything valuable out of it? It's hard to say, right? Because


that's what you've got to try with research. You've got to spend a little time exploring


the unknown. You never know what you might stumble across. And so what have I been doing


specifically? Took my jumper off. It's getting hot. So specifically, I've been going through


the GitHub repo of the Pommelmann competition. And essentially just been going through the


code, looking through each file, looking through some sample Python scripts and writing them


out so I gather an understanding. And is it the best way? I'm not entirely sure, but it's


working for me, right? Because what I'm trying to do is get my head around the problem, go


through it in a step by step fashion. Because this morning, I really had no idea. So if


we're going to implement our own version of a reinforcement learning agent, we've definitely


got to have a fundamental understanding of the problem. And so for the rest of the afternoon,


I think I'm going to be trying to get some open AI code running or open AI, an open AI


algorithm called PPO, which is proximal. I should really know what the acronym stands


for, but we'll figure that out. Can you guess where we are? Back in that tunnel we're in


this morning. Why do you think that is? Well, I've got a little metaphor on what happened


for the rest of the day. So Xavier and I were going back through some open AI gym examples,


getting some code running there because we decided to take two steps back before taking


a step forward. We want to really understand the PPO, which is proximal proximity optimization


algorithm. I believe that's a mouthful. Before we start implementing it for Pommelmann, I


think that's where our starting point is going to be. So next Monday we're going to go back.


I've printed out the paper for the PPO algorithm. I'm going to go through that. I'm going to


try and get some code from the open AI. I believe they have a baseline implementation


on GitHub. So we're going to try get that running next Monday. But for the next two


days, I'm at a client. So I'm on site and I don't think I'm going to bring you along


because of privacy and whatnot, but whatever I learn, I'm coming away.


Hey man, what's cracking? How was your day little bro? Good. Good.


My first day on one new course in TAFE. What is it?


New Cert 3 in Screening Media. Screening Media, my boy. You can help me out with my videos,


make them a bit better. Yeah. All I do is I always do nest first lesson.


So it's a little bit boring. Safety first every time. Actually, it should


be safety third. Take some risk, you know? Yeah.


You remember my catchphrase from last night? Yes.


What is it? Keep learning.


Keep learning, team. Signing off. It's been a good day. Lots of learning. I've got


plenty more to go through. We're going to go home and write down what I need to cover


How do I stay motivated? - 1000 Subscriber LIVE Q&A

What's up?


I hope this still haven't worked out this whole live stream jazz, but we're here.


We're here to celebrate a thousand subscribers and yeah, we've got some Q and A. We've got


some Q and A lined up.


We might let this run for a minute or so.


I'm not entirely sure of how long to get this running before we jump in and start answering


some questions.


But this is all dedicated to you guys essentially.


So thank you so much for subscribing, following my journey on this channel.


I'm having such an amazing time and it's kind of surreal.


Let me move that out there and I think this is, is this backwards to you?


I don't know.


It looks backwards to me on my screen, but hopefully in the actual video it flips because


to me that's, I wrote that in the normal way on the whiteboard.


And whoever the two people are here, how are you?


Nice to meet you.


Nice to see you.


Thank you for joining us.


We're here celebrating a thousand subscribers, AKA you guys, and we're going to do some questions


and answers.


I've got a few lined up that we're going to get started in probably a couple of minutes.


And otherwise, if you want me to answer your question, leave it in the chat.


I think that's the best place to do it from.


What are you going to do today?


I want to know if you're watching this at a future date, that's what's going to happen


by the way, actually, if you're not watching this live, I'm going to archive this on my


channel in some way or another.


Hopefully, hopefully that works as well.


But yeah, we'll do a bit of a countdown, maybe, maybe another 90 seconds and we'll get into


some Q and A. What have you been up to today?


I've said an awesome breakfast.


I got some sparkling water here and at the moment I'm really enjoying, this is like a


modified version of bulletproof coffee if you've ever heard that.


So this is like coffee and grass-fed butter mixed up.


It's kind of weird, but I like drinking, I like eating weird food.


I think that's the most healthiest way to do it.


If you can, eat weird, eat weird.


It's actually like a really easy way to have a healthy diet is to just choose weird foods,


choose foods that don't have nutrition labels and you can't really lose.


We'll get started on questions in about 30 seconds or so and then, yeah, if you want


any more, if you want any more questions, leave them in the chat.


But I am so excited for this year.


It has been amazing already.


What's up guys?


Welcome, welcome to the stream.


Still getting my head around this.


Maybe I should have some backing tracks of this or something so it's not just my head


and we're just jumping around.


But hey, what's up?


Bizwa Jit, nice to meet you my friend.


Thanks for joining in.


Let me know if you have any questions because this is what this stream is dedicated towards,


1,000 subscribers question and answer time.


We're going to do it.


We're going to do it for at least half an hour, 45 minutes an hour.


Let's see what we're going on.


But let's start off question number one is from my boy from Empiricist Academy.


So his question is, actually, I'm going to live transcribe this using an app that I found


on iPhone called Otter, which essentially is just a really good voice to text app.


So let's see how good it is at recording what I say and translating it into text.


Here we go.


We're starting it off.


Apparently it's doing it live now.


Danny, hey mate.


Danny Salas, thank you so much.


Thank you for the congratulations.


Your words means a lot to me.


But we're going to get started on the first question from Empiricist Academy.


And of course, this is going to be archived.


So if you're watching live and you can't stay, you can catch up in the future.


But when you hit 1k subscribers, can you talk about your YouTube journey so far going from


zero views and zero subscribers and zero comments to where I am now?


Well, it has been a ride.


That's that's that's that's well and truly, well and truly true.


That doesn't really make sense.


But oh, well, but yeah, I started YouTube at least I think it was about a year ago from


today.


I think it was end of 2016, but it wasn't kind of like a consistent uploading schedule


like I kind of have now.


Even now it's sort of I just say weekly and I upload videos whenever really.


So I need to get more consistent in the future.


But that's another topic.


How did I get started?


Well, I think my first ever video was building a pull up bar in my backyard.


And you can go I've kept all of my videos on my channel since I first started.


Maybe it was unboxing my brother's Xbox.


I'm not entirely sure.


But I started from that video and I didn't know.


It took me so long to get started.


Why?


Because I didn't really know what I wanted to make.


I I'm high on openness, which is a psychological trait.


And it means I'm I get excited by everything almost.


And so if I dive deep enough into something, I can get excited by it.


And so that's what kind of held me back at the start is that I had so many different


things that I wanted to do on the channel and I didn't really know where to start.


So I just just wanted I knew I wanted to make a channel, but I didn't know what it was going


to be about.


So I just started filming random things and I filmed me and my friend building a pull


up bar in my backyard.


I filmed my little brother bringing home his Xbox for the first time because I watched


unboxing videos in the past.


And my first probably 20 videos or something like that didn't didn't get any views almost


maybe six views or something like that.


Hardly any likes whatever.


Maybe maybe I had four subscribers for like months, months on end.


But over time as I kept uploading, as I kept reaching out to different people, as I kept


sharing my work on different platforms, the momentum slowly kept building.


And I remember when it was a goal for me to hit 100 subscribers.


And and if you're looking for the formula to getting to to a number, I mean, I don't


have one.


I don't follow a formula.


I just I just make videos that of stuff that interests me.


And hopefully that brings value to other people.


And for me at the moment, what interests me the most is is learning.


First of all, like learning is number one movement and fitness.


And I just I know I slowly got better at making videos.


I was engaged with the community.


That's a big one.


I I don't really have a number goal of what subscribers I want.


Of course, it'd be great to have 100,000 or or or a million subscribers.


That'd be awesome.


Don't get me wrong.


I'm not going to deny that.


But I'd rather a thousand subscribers that that love and interact with my videos and


leave comments and have a million who who just subscribe because because my channel


looks good or something like that.


So I go for in terms of fans, I go for depth rather than width.


A thousand is my only ever YouTube subscriber goal.


That's it.


I'm going to say that and archive it.


It'll probably change in the future.


But for now, it's my only ever goal.


I've hit it.


And that's that's enough.


But how do I go?


How do I go from from zero to to a thousand?


I just kept making videos.


That's I just kept posting videos.


I kept writing on different platforms, whether it be my blog, whether it be on Quora, whether


it be on Medium.


It all creates a circle.


So of course, I'd link back from YouTube to my blog.


I'd link back from Medium to my YouTube link back from Quora.


To my YouTube.


All of these platforms, they all tie into each other via via links.


And that is how I essentially just kept driving, driving people to to to my channel.


But as I said, that's that's not first and foremost.


That's not my goal.


Like I create to learn and I learn to create.


So I think if you're making good things, it's almost inevitable that you're going to to


increase subscribers.


So that's my formula.


It's to just keep putting out videos, keep improving your craft and the subscribers will


come.


Hey, what's going on, Ash K?


I hope that was a good answer for you empiricists.


That's legit what I what I take.


Be engaged, be consistent, keep making videos.


Crazy.


How are you, man?


Christ center dev.


Thank you very much.


SKY inspired me to do 100 days of Python.


Yes.


Good work.


Keep it up, man.


Keep working hard.


That's that's how I got into coding.


Bizwa jet.


Thank you for your question.


Is my internship over?


No.


I actually got offered a role like the CEO called me up and said, Do you want do I want


to start part time?


So I'm going to actually be calling him back tomorrow and negotiating what the role is


that I'm going to be doing.


So the internship has turned into a to a part time role of sorts.


Well, the offer is there.


I it's not set in stone, but the offer is there.


So I'm going to call him back tomorrow and just suss out some details.


But of course, once I find out more, I'll make a video about that in the future.


But that's that's what I know so far.


You're starting the front Christ center dev you're starting the front end Udacity nanodegree


April 24th.


Yes.


Good work, my friend.


Front end.


I love web development.


I love I love all kinds of just being able to build things.


Nothing, nothing.


Ask, where am I working now?


So at the moment, I'm not actually working.


I used to drive Uber on weekends.


I should actually update my Patreon that it doesn't say I'm not driving Uber anymore.


I made a decision.


I'm not driving Uber anymore.


I'm getting a paid role in in AI in data science.


That was my decision.


I just had I just had a day where I'm like, No, not doing this anymore.


I'm going to go go for broke with with what I've been learning.


I'm going to back myself with the skills I've been acquired, acquiring sorry, over the past


year or so.


And I'm going to get to get paid for my skills.


And that's that's my current goal.


And it's funny.


It is funny, guys.


Like I can't explain this, right.


And if you've heard a lot of attraction and all that sort of stuff like that sort of woo


woo hippie stuff, but who knows, it might be true might not be.


But as soon as I decided that I'm not going to drive Uber anymore, and as soon as I said,


I'm going to get a paid role in in AI, I got offered to two, three, four, four different


four different jobs, or four different internships or four different types of work experience


on on on LinkedIn and other various platforms.


It all happened within a space of two weeks just after going, Hey, I'm not driving Uber


decided in my own head going, I'm going to do this now.


We got a question from crazy.


Yeah.


So if you want to make a decision, make a decision and stick to it back yourself be


confident right and of course, stick to reality.


But if if you believe in yourself, you can change your own reality.


Crazy us.


Hey, did you get a bit nervous when it comes to the nitty gritty details of mathematics?


convex non convex optimization for?


Yes, of course.


I mean, that stuff is is is mind blowingly complicated.


Even for some of the smartest minds.


However, I with with anything, I approach it in a way that it's it's it's comes back


to the gym to me, it's all sets and reps, if you put in the time, keep practicing, keep


getting better and better.


Eventually, you will learn it.


Right?


That's, that's my understanding of how how I learn different things.


It's just breaking it up into small pieces.


Because if you look at it as a big sum, it can be scary, right?


But if you break it down, you can go, Hey, I'm going to start learning this today.


And then that's going to lead me into that for the for the next week.


And then a month later, you might be on to a completely new topic, right?


And the year ago, I knew nothing about coding, nothing about coding.


And now I'm, I'm, I got offered a role as a as a machine learning, junior developer.


I mean, so so these things are possible, and I'm not special, I just show up every day,


I just show up and try to learn my best.


So So yes, I do get nervous with those sort of things.


But I bring it back to the confidence in myself and think, okay, they had, but if I keep practicing,


I'll get better and better.


And then we have nothing anything is good to go for a trip to iOS Greece.


I'm not not entirely sure.


I haven't I haven't been to Greece yet.


But I do have a great friend, a good friend, George, shout out to George, if you're if you're watching this, my friend,


who is from Greece, and he's got some amazing things to say about that.


It looks like a beautiful country, I'll probably get there one day.


Christ center dev, I'm getting so close to a web dev job.


Been learning since Jan.


Wow, that's awesome.


Well done. Keep it up.


Yeah. So you give that's that's the tech industry is exploding, guys.


It's no, no, no doubt about that.


Right. So if you're if you're learning these skills, and you're putting yourself your work out there,


whether it be through LinkedIn, through GitHub, through a blog, through a YouTube channel,


like what I'm doing here, people will find you, right?


If it's good stuff, people will find you.


And that's what I'm a big believer in.


You can search all you want.


But at the end of the day, I think it's very valuable to have something that differentiates you from other people.


So whether it be a blog, and you put out guides for people or whether it be whatever it is, just just rather than just being a resume and a piece of paper, have something else, right?


Because a resume, as everyone can make a resume, but what can you do to differentiate yourself?


And if it's a YouTube channel, send me a video, I'll watch it, I'll watch it.


I have that I owe you that much for watching my stuff.


Or if it's a blog, send me it, you can find me all my social media links will be in the description at some point.


Denny Sales, Salas, sorry, how do we how do you stay motivated, man?


I'm too interested in data science.


I too interested in data science and being healthy, but cannot stay consistent for a meaningful amount of time.


Yes, it is.


It is hard, my friend. I'm not going to lie to you.


Right. It is it is hard to stay motivated all the time.


But I think of it in terms of this.


What is my alternative? Right.


If I don't be healthy and I don't learn the things that I want to be learning, what is the alternative to not be healthy and not learn the things I want?


I want to be learning. Then that's that's not where I want to be.


Right. I don't want to be unhealthy.


I don't want to be not working on the things I want to be working on.


So even though maintaining being healthy can be hard at some times.


And trust me, once you once you get to a point of health or fitness, it becomes easier to maintain than it is to lose.


That's what I'm at now. Like, for example, it's easier for me to work out every day and to eat right every day.


It is for me to not work out and eat right every day.


That's it's a habit now.


So whereas and learning and learning your stuff, it's just the same process.


Right. What what other option do you have to not do those?


I think it's binary to me. It's like zero or one.


And that's that's that's how I look at it. It really is that simple when you break it down.


And of course, there's going to be different different things that come up in life that that holds you back from from going towards your goals.


But if you get the process set in motion, if you get the small little actions, the day to day actions done, don't don't worry too much in the beginning at planning a whole year of ahead of you.


Just worry about each and every day, the next hour.


What can you do for the next hour that's going to benefit you for where you want to go?


That's how I stay motivated. I just think of the alternative.


What's the alternative? Right. It's just just a no brainer to me.


Christ center, Dev. Yeah, I agree. Yes. Having a blog. 50. Wow. Good work. Yeah, that's that's that's perfect.


That's exactly what you want to do. Have a blog updated. Make people find you. That's what I'm about.


People people will find you. Right. If the Internet is a beautiful place, you have to be your own biggest fan.


That's what I'm essentially trying to do with this YouTube channel. I I want to be my own biggest fan.


Right. So I love making videos and and making my own TV show. It's amazing. I can't believe this.


Right. When I was like seven, I went to do an audition with with my mom for an advertising network.


So I would be on TV ads and I saw this girl doing this catwalk and I'm like, I want to do that catwalk.


And so I said to the the ad audition and I said, can I can I do that catwalk?


And she's like, oh, it's only for girls. I'm like, well, what?


And this is like 2000 and 2003 or something or before then, 2001.


So it wasn't that that PC 2018 or whatever. Anyway, I did I did this catwalk.


Right. And I was so excited. I'm like, I'm going to be on TV. I did this catwalk.


I'm the only boy to do it. And then the ad company went broke. So I never got on any ads.


But now with YouTube, we can all be the stars of our own TV show and SKY says,


how many hours a day do I spend learning Python and AI previously?


Also, do you work out every day using a reference on how many hours I spend as working full time?


So learning, learning for me, I can spend three to four hours of of deep work.


And what I mean by that is really strenuous like concentration.


And I'm not talking about just just sitting there watching videos or something like that.


I'm talking about I'm I'm improving my knowledge for three to four hours.


Once I get to that three to four hour mark, I sort of it's very difficult, right?


It becomes so much more of an effort. But I've got about three to four hours in me per day of deep, concentrated work.


That means zero distractions, phone away, phone turned off all the notice.


I don't have a single notification turned on on my Mac.


That's why I'm hopeless at responding to something sometimes, but I will eventually get to them.


So no email notifications. Phone is on airplane mode.


Noise cancelling headphones are on and I am sitting there just concentrating on the one task.


So three to four hours a day. And I think Saturday and Sunday is like weekends.


Maybe I'll take one day off a week, but three to four hours a day.


If I don't do that, I feel I feel bad.


I feel sick. Like if I don't spend three to four hours a day of concentrated work and concentrated work can also be writing,


could also be editing a video, could also be reading something like that.


But three to four hours a day of deep study is what I do.


What else do I work out every day? Yes. Some sort of movement.


I go for a walk, I do some stretching or I do some yoga if I'm not weightlifting.


Otherwise, at the moment, I'm training for Spartan Race, which is a 50 kilometre obstacle race.


So I'm training every day a combination of weights and running.


So working out and learning are two non-negotiables for me every day, at least at least a little bit.


But if you are working full time, maybe three to four hours is not feasible for you.


I would say start with half an hour, do half an hour, set a timer on your phone and don't do anything for that half an hour except learn something.


And what you'll probably find is after that half an hour, you're like, OK, I can I can get to the hour.


And then you slowly build up, you work it in.


And of course, you're not going to be able to do that every day because life happens, things happen.


But just remember, you keep coming back to the process, try to do a little bit every day.


That's that's what I I think is very valuable.


Crazy, extremely expect that, man, thank you. Congrats.