10k subscribers | joining Google DeepMind, updates, AMA
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In this video we're celebrating 10k subscribers! 
I give you some updates like:
1) I'm joining DeepMind as a Research Engineer!!!
2) Where this channel is heading to? hint: more applied stuff!
3) AMA (I answer some of your questions!)

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✅ Get started with ML blog: https://gordicaleksa.medium.com/get-started-with-ai-and-machine-learning-in-3-months-5236d5e0f230
(also check out other "Getting started with X" blogs)

✅ Get started with ML video: https://www.youtube.com/watch?v=7q_OJvQQ7vY
(also check out videos where I explain good projects for beginners/intermediate practitioners)
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⌚️ Timetable: 
00:00 Updates
01:45 My GitHub
02:10 Turn that notifications on
02:30 Where this channel is heading to (DeepMind)
03:30 Follow me on Twitter and LinkedIn
03:45 Patreon and Discord community
04:30 AMA (answering your questions)
04:33 Q1
05:58 Q2
07:10 Q3
07:49 Q4
08:49 Q5
09:32 Q6
10:48 Q7
11:45 Q8
12:07 Q9
13:05 Q10
14:36 Q11
15:22 Q12
15:58 Outro

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#10ksubs #deepmind #ama
 What's cracking guys? In this video we're celebrating because the channel just hit 10k subscribers and in this video I just thought of giving you a short update telling you where this channel is at, where this channel is heading to as well as I'm gonna do like a short AMA where I'm gonna answer some of the questions you guys posted over the last couple of days. So let's start with the beginning. My first video was uploaded in March 15th last year so that's 2020 and obviously back then I did not have a clue that we're gonna have a pandemic and so it perfectly coincided with the pandemic at least in Serbia. To be honest here I'm not sure I'd be having this YouTube channel if the pandemic did not happen because it kind of helped me focus and have less distractions because we had a bunch of lockdowns here in Serbia so that's I guess a positive side I see in this pandemic. So it took me a year and a half to get to the 10k mark and to be honest if you asked me two years ago whether I would have a YouTube channel I'd probably say no and the main takeaway there is I guess many of you I'm fairly sure that many of you can actually start your own YouTube channel I don't think there is something special about it and I strongly believe that in 20 years time many people especially tech savvy people are gonna have some type of a media channel because it's a super valuable asset that helps you communicate clearly your ideas, it helps recruiters notice you and that can definitely help you land a dream job. So looking at these channel numbers like the views, number of subscribers and everything I think I'm doing fairly well considering all of the things I was doing aside from this channel so I definitely do not consider myself to be a YouTuber so throughout this whole period I was working pretty much full time at Microsoft I was initially a software engineer and then as an ML engineer I was also making a bunch of open source projects and posting them to GitHub and hopefully you know of some of those you may find some cool projects there so I'm gonna just link it somewhere here. I had eight open source projects, I wrote a bunch of medium blogs I read a bunch of papers, a bunch of books so the point I'm trying to drive here is that many of the things I've been doing were done privately, it's obviously very time consuming to upload everything to YouTube. As a side note here I noticed that many of you have not turned on the all notification bell so I encourage you to do that because a lot of cool content is coming on and also some of you do have the all notification bell turned on yet your YouTube notifications are turned off so you're not receiving the notifications so go ahead and fix that. I also want to tell you something about where this channel is heading to. So first things first, some of you may know, some of you may not know, I just landed a job at DeepMind and I'm super happy about it, that was my pretty much dream company and so the next video you can expect like me sharing my journey of how I landed a job there so that's gonna be one or two videos. Aside from that I'm gonna be much more bullish on creating engineering videos so code walkthroughs videos something like my G9AI video or something like the Dyno video I did and so the reason is, the reason I was pushing research so much is because I lack formal education in machine learning so I had to compensate all of that myself and so like covering research papers was just my way to kind of learn that and also make it public and help others. In a nutshell, going forward I'm gonna focus pretty much equally on research papers as well as on the engineering videos so that's some update on my side. Again, I said I do not consider myself a YouTuber, this is just yet another one of my channels where I'm trying to communicate my thoughts, my ideas and help you guys out. So having said that, I share lots of cool content on, at least I think so, on Twitter and LinkedIn so many of the paper summaries I've done were in a written format and only a subset of those were actually uploaded as a video. So do follow me on Twitter and do follow me on LinkedIn. Finally, before I do an AMA, I wanna make a huge shout out to my Patreons, they've been supporting me over the last period when I was jobless and I also wanna make a huge shout out to the AIPfany Discord server, those guys are super active, they're helping each other out. So if you have any questions, I think the best thing you could do now is join the Discord server and ask a question there because there will be somebody that will answer your question, obviously even better than I can. So the server has some really awesome channels, like there is one channel where people are sharing their ML interviewing experiences, trying to land a job at whatever ML company, we have info channels where you can ask whatever job related question and finally I've got a channel where I'm bringing valuable ML companies and thus sharing with you guys the fresh job openings. Having said that, let's start the AMA. So the first question is this, congrats and we hope you do a video about how to get internship in machine learning and in other video project ideas for portfolio please. Okay, so the best thing I think you can do here is be very deliberate in your job search. So find a couple of companies you're super interested in and just check out the projects they are working on, some open source projects they have and consider contributing. So that way they'll get some exposure to your abilities and you'll have an opportunity to show what you know and basically that's I think one of the best ways to land a job at a certain company. Aside from that, consider creating a project and open sourcing it in a certain topic that's relevant to that particular company you want to apply for. Also consider writing a blog where you'll be covering and showing your knowledge about that certain topic that they care about again or just make a video if you're comfortable with the video format. Finally just connect with the people that work at those companies on Twitter, on LinkedIn and share with them your content, don't be spammy, just share some valuable content with them and also if you think you're still lacking some knowledge be very deliberate again and ask them which skill sets do they look for and go ahead and learn exactly those things. So don't be that guy that just goes ahead and learns like language X, framework Y and technology Z just because they think it's going to be useful. So be very focused. Okay, second question. Can you tell how to approach math in deep learning and some resources, especially for CS grads? I'll be sharing more advice on this question in the deep mind video but for now let me give you some brief tips. First a small background story. So I basically had throughout my life a love and hate relationship with mathematics and that was mainly because of schooling. So once I started self-studying I became a lot better at mathematics and I started loving the topics. Okay, having said that I obviously have like my journey when it comes to mathematics started in elementary school, then I had high school and finally I was studying electrical engineering so I had a bunch of courses there. So if you have a similar background there then my best tip is to do the following thing. Go through mathematics for machine learning book. Accompany that book with the three blue one browns, awesome playlists on linear algebra, calculus, etc. And finally learn stuff on the fly. So as you approach, as you encounter certain problems, some mathematical formula you do not understand, go ahead and read a couple of blogs and a couple of Wikipedia pages and kind of that way you're going to learn like a lot, believe me. And that's probably a mindset I picked up from my software engineering role. Okay, third question, moral question. How can it be prevented that general advances in AI are being used for morally questionable purposes? Is stopping research altogether like Joseph Redman really the only consequence? So in my honest opinion there is no way to stop this. As with any technology AI can be misused. So instead of burying your head in the sand let me propose a couple of alternatives. Work on educating the public and work at a company that is using AI for good. Because just think about it, if you just kind of exclude yourself from the whole story that's like you don't exist. So if you're a good positive person and you're engaged you can only make things better. Fourth question is on impact. Hopefully with a bit of contextual background from DeepMind, which area do you think AI will impact the most in the next five years? So first things first, I still haven't started working for DeepMind. I'll be starting in December so that means in a couple of months. But I obviously still have an opinion of which areas are going to be promising. So I cannot pick a single one. I can pick up like a number of areas I'm personally passionate about. So that's self-supervised learning, that's causality, that's reinforcement learning, that's geometric deep learning and program synthesis and induction. There is obviously a lot of overlap between those fields but yeah I'm pretty passionate about all of those. The reason I haven't mentioned computer vision is because it deals more with perception. Whereas the thing we are lacking currently is the cognition part so that's the reasoning part. And all of these fields seem to hold certain promising ideas that can lead to us building an agent that can actually reason and be intelligent I guess. As for the technical question, where do you personally struggle the most with in regards to AI? I personally, when I focus on whatever topic, I do not have problems nailing it to be honest. The current problem I'm seeing is because I have a lot of context switching because I'm doing various sub-fields. And so I sometimes feel like in a month I forgot, like even a paper I overviewed on my YouTube channel, I feel like I forgot many things. But then like in 5 minutes, 10 minutes I can retrieve the context really quickly. And I just feel a huge gap between the stuff I know before investing those 5-10 minutes in that topic. Okay, sixth question. Where do you typically find the papers? I usually look at papers with code and send it to Preserver. Are there more good sources that you recommend? And same question here. Any tips on how to pick the relevant research papers when there are so many of them? So basically my main answer would be Twitter. Go ahead and curate your network. Follow people that are passionate about the same topics you are passionate about and only follow those people. So that way you'll get a full immersion. Also by creating this network of people around you, some of them can sometimes DM you and send you the hottest new paper. And that's basically like a human recommender system, which is in my opinion still better than machine learning recommender systems. So I personally do not even scroll, usually don't scroll through the Twitter feed. I just open up certain profiles which I follow and I just check out what those guys and girls are posting. Obviously from time to time I just go and scroll through the feed just to add some randomness to the process and maybe pick up on some cool new people I've missed out. So for me personally I'm very curious and I don't have a single field I'm interested in, so I follow people from a bunch of different subfields and that's I guess also good for my YouTube channel because there is a lot of diversity. Seventh question is how to read papers fast. And a simple answer would be there is no wisdom there. You just have to do it. You have to read a bunch of papers and a couple of tips would maybe be read the abstract first, check out the figures, the charts, whatever the visualizations you have in the paper and read the conclusion. After you have that you'll hopefully have some rough idea of what's going on in the paper, of the main ideas, and then you can do a single or a double pass to the paper or even more depending on what you're doing. So for example when I was implementing some papers like Graph attention networks I think I've read it at least three or four times. And then occasionally I just check out some snippets of the paper and that's normal. And another tip would be be comfortable with not understanding stuff. So sometimes you'll have to leave that paper behind even though you did not nail certain concepts and only two or three papers down the line will actually figure it out. So just be patient and be comfortable with not knowing everything. Eighth question, hi Alexa, your journey to DeepMind is very inspiring to me. What's the biggest piece of advice you have for someone trying to self-study reinforcement learning? And a very short answer here, check out my blog on how to get started with reinforcement learning. So I wrote those blogs such that Alexa from the past would be grateful if I have stumbled upon such a resource. Ninth question, as a newcomer to AI ML field, could you please suggest the best place to start as I want to excel in computer vision and NLP fields and want to become a researcher. Your valuable guidance in this matter will be highly appreciated. So basically I created a series, a couple of blogs and a couple of videos where I basically tell you how to get started with whatever topic or with machine learning in general. So I strongly suggest to check out my medium like blogs as well as two or three videos I made a while ago. I'm going to link them down in the description and that's pretty much it. There is not much wisdom there, just don't fall into this decision making paralysis trap and start working and be consistent with your work and you'll get there. I'm trying to create the best, the optimal learning path because that's impossible. Just pick one of these, I think these resources I've shared are good enough and if you just commit to them you'll nail it. Tenth question, I'm planning to take a gap year between my bachelor's degree and master's degree to fill at least some gaps. I don't feel like college has prepared me for the industry so just want to upskill in general. I'd like to know how you approach making your own curriculum, any tips in general would be great too, thanks. So basically again I think my blogs on learning how to learn and my blogs on how to get started with topic X are an excellent starting point to better understand my thought processes. So on a personal note, this whole journey of mine of creating these curriculums and self-studying started at least 15 years ago. So basically back in high school I was learning human languages and I had to learn those by myself and so I slowly started developing my own strategies of how to do it and I shared many of those thoughts in those blogs I mentioned. So basically human languages workout, IE like physical training and working out helped me a lot, like just gained that different type of willpower and create a program, create a goal, create a program and just stick to it and kind of execute all of that. So all of those skills slowly, so learning how to learn and discipline and willpower developed over a course of 15 years I guess. So now even though I started in 2018 like machine learning which is pretty recent, I already had a decent background both from the technical standpoint and I also made a really strong background in learning how to learn. Eleventh question, you have so many good articles, how did you acquire so much knowledge in the space in what seems like a short time? Again here at this point in time I think I have a really strong learning how to learn abilities. So as I said through learning languages, through working out I developed all of the necessary ingredients like setting the goal, making a program, executing, so having that pure willpower as well as like a bunch of different learning like tricks I guess. But also things like learning how to learn course helped a lot. I definitely think that learning languages had a really really strong role in developing those necessary cognitive abilities that will later help me learn whatever topic I want, whether it be machine learning, software engineering, finance, what not. And finally twelfth and final question, hi maybe you could make a video about your journey until today, what's your academic background, how you got into ML etc. So I'm gonna keep it super brief here, I basically did like a bachelor in electrical engineering. I dropped out of masters because as I said I'm a strong like a proponent of self education. So I strongly believe that I can create a better program for myself than the best faculties out there like MIT or Stanford. So in 2018 I attended this machine learning summer camp organized by Microsoft and I think that was the starting point for me pretty much. That's it guys, let's go to 100,000 subscribers. If you find these videos useful consider subscribing, share the videos out with your friends and join the Discord community. Until next time, bye bye.
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I had eight open source projects, I wrote a bunch of medium blogs"}, {"start": 118.8, "end": 124.39999999999999, "text": " I read a bunch of papers, a bunch of books so the point I'm trying to drive here is that many of the things I've been doing"}, {"start": 124.39999999999999, "end": 129.4, "text": " were done privately, it's obviously very time consuming to upload everything to YouTube."}, {"start": 129.4, "end": 134.6, "text": " As a side note here I noticed that many of you have not turned on the all notification bell"}, {"start": 134.6, "end": 141.4, "text": " so I encourage you to do that because a lot of cool content is coming on and also some of you do have the all notification bell turned on"}, {"start": 141.4, "end": 146.4, "text": " yet your YouTube notifications are turned off so you're not receiving the notifications so go ahead and fix that."}, {"start": 146.4, "end": 149.0, "text": " I also want to tell you something about where this channel is heading to."}, {"start": 149.0, "end": 155.0, "text": " So first things first, some of you may know, some of you may not know, I just landed a job at DeepMind"}, {"start": 155.0, "end": 161.0, "text": " and I'm super happy about it, that was my pretty much dream company and so the next video you can expect"}, {"start": 161.0, "end": 166.0, "text": " like me sharing my journey of how I landed a job there so that's gonna be one or two videos."}, {"start": 166.0, "end": 172.0, "text": " Aside from that I'm gonna be much more bullish on creating engineering videos so code walkthroughs videos"}, {"start": 172.0, "end": 179.6, "text": " something like my G9AI video or something like the Dyno video I did and so the reason is, the reason I was pushing research so much"}, {"start": 179.6, "end": 184.0, "text": " is because I lack formal education in machine learning so I had to compensate all of that myself"}, {"start": 184.0, "end": 192.4, "text": " and so like covering research papers was just my way to kind of learn that and also make it public and help others."}, {"start": 192.4, "end": 198.0, "text": " In a nutshell, going forward I'm gonna focus pretty much equally on research papers as well as on the engineering videos"}, {"start": 198.0, "end": 200.0, "text": " so that's some update on my side."}, {"start": 200.0, "end": 208.4, "text": " Again, I said I do not consider myself a YouTuber, this is just yet another one of my channels where I'm trying to communicate my thoughts, my ideas and help you guys out."}, {"start": 208.4, "end": 213.4, "text": " So having said that, I share lots of cool content on, at least I think so, on Twitter and LinkedIn"}, {"start": 213.4, "end": 220.4, "text": " so many of the paper summaries I've done were in a written format and only a subset of those were actually uploaded as a video."}, {"start": 220.4, "end": 223.4, "text": " So do follow me on Twitter and do follow me on LinkedIn."}, {"start": 223.4, "end": 232.4, "text": " Finally, before I do an AMA, I wanna make a huge shout out to my Patreons, they've been supporting me over the last period when I was jobless"}, {"start": 232.4, "end": 239.4, "text": " and I also wanna make a huge shout out to the AIPfany Discord server, those guys are super active, they're helping each other out."}, {"start": 239.4, "end": 248.4, "text": " So if you have any questions, I think the best thing you could do now is join the Discord server and ask a question there because there will be somebody that will answer your question, obviously even better than I can."}, {"start": 248.4, "end": 257.4, "text": " So the server has some really awesome channels, like there is one channel where people are sharing their ML interviewing experiences, trying to land a job at whatever ML company,"}, {"start": 257.4, "end": 269.4, "text": " we have info channels where you can ask whatever job related question and finally I've got a channel where I'm bringing valuable ML companies and thus sharing with you guys the fresh job openings."}, {"start": 269.4, "end": 272.4, "text": " Having said that, let's start the AMA."}, {"start": 272.4, "end": 282.4, "text": " So the first question is this, congrats and we hope you do a video about how to get internship in machine learning and in other video project ideas for portfolio please."}, {"start": 282.4, "end": 287.4, "text": " Okay, so the best thing I think you can do here is be very deliberate in your job search."}, {"start": 287.4, "end": 296.4, "text": " So find a couple of companies you're super interested in and just check out the projects they are working on, some open source projects they have and consider contributing."}, {"start": 296.4, "end": 307.4, "text": " So that way they'll get some exposure to your abilities and you'll have an opportunity to show what you know and basically that's I think one of the best ways to land a job at a certain company."}, {"start": 307.4, "end": 315.4, "text": " Aside from that, consider creating a project and open sourcing it in a certain topic that's relevant to that particular company you want to apply for."}, {"start": 315.4, "end": 326.4, "text": " Also consider writing a blog where you'll be covering and showing your knowledge about that certain topic that they care about again or just make a video if you're comfortable with the video format."}, {"start": 326.4, "end": 335.4, "text": " Finally just connect with the people that work at those companies on Twitter, on LinkedIn and share with them your content, don't be spammy, just share some valuable content with them"}, {"start": 335.4, "end": 345.4, "text": " and also if you think you're still lacking some knowledge be very deliberate again and ask them which skill sets do they look for and go ahead and learn exactly those things."}, {"start": 345.4, "end": 355.4, "text": " So don't be that guy that just goes ahead and learns like language X, framework Y and technology Z just because they think it's going to be useful."}, {"start": 355.4, "end": 357.4, "text": " So be very focused."}, {"start": 357.4, "end": 364.4, "text": " Okay, second question. Can you tell how to approach math in deep learning and some resources, especially for CS grads?"}, {"start": 364.4, "end": 370.4, "text": " I'll be sharing more advice on this question in the deep mind video but for now let me give you some brief tips."}, {"start": 370.4, "end": 377.4, "text": " First a small background story. So I basically had throughout my life a love and hate relationship with mathematics and that was mainly because of schooling."}, {"start": 377.4, "end": 383.4, "text": " So once I started self-studying I became a lot better at mathematics and I started loving the topics."}, {"start": 383.4, "end": 393.4, "text": " Okay, having said that I obviously have like my journey when it comes to mathematics started in elementary school, then I had high school and finally I was studying electrical engineering"}, {"start": 393.4, "end": 400.4, "text": " so I had a bunch of courses there. So if you have a similar background there then my best tip is to do the following thing."}, {"start": 400.4, "end": 410.4, "text": " Go through mathematics for machine learning book. Accompany that book with the three blue one browns, awesome playlists on linear algebra, calculus, etc."}, {"start": 410.4, "end": 418.4, "text": " And finally learn stuff on the fly. So as you approach, as you encounter certain problems, some mathematical formula you do not understand,"}, {"start": 418.4, "end": 427.4, "text": " go ahead and read a couple of blogs and a couple of Wikipedia pages and kind of that way you're going to learn like a lot, believe me."}, {"start": 427.4, "end": 430.4, "text": " And that's probably a mindset I picked up from my software engineering role."}, {"start": 430.4, "end": 437.4, "text": " Okay, third question, moral question. How can it be prevented that general advances in AI are being used for morally questionable purposes?"}, {"start": 437.4, "end": 442.4, "text": " Is stopping research altogether like Joseph Redman really the only consequence?"}, {"start": 442.4, "end": 448.4, "text": " So in my honest opinion there is no way to stop this. As with any technology AI can be misused."}, {"start": 448.4, "end": 452.4, "text": " So instead of burying your head in the sand let me propose a couple of alternatives."}, {"start": 452.4, "end": 458.4, "text": " Work on educating the public and work at a company that is using AI for good."}, {"start": 458.4, "end": 463.4, "text": " Because just think about it, if you just kind of exclude yourself from the whole story that's like you don't exist."}, {"start": 463.4, "end": 469.4, "text": " So if you're a good positive person and you're engaged you can only make things better."}, {"start": 469.4, "end": 473.4, "text": " Fourth question is on impact. Hopefully with a bit of contextual background from DeepMind,"}, {"start": 473.4, "end": 477.4, "text": " which area do you think AI will impact the most in the next five years?"}, {"start": 477.4, "end": 483.4, "text": " So first things first, I still haven't started working for DeepMind. I'll be starting in December so that means in a couple of months."}, {"start": 483.4, "end": 488.4, "text": " But I obviously still have an opinion of which areas are going to be promising."}, {"start": 488.4, "end": 493.4, "text": " So I cannot pick a single one. I can pick up like a number of areas I'm personally passionate about."}, {"start": 493.4, "end": 503.4, "text": " So that's self-supervised learning, that's causality, that's reinforcement learning, that's geometric deep learning and program synthesis and induction."}, {"start": 503.4, "end": 508.4, "text": " There is obviously a lot of overlap between those fields but yeah I'm pretty passionate about all of those."}, {"start": 508.4, "end": 512.4, "text": " The reason I haven't mentioned computer vision is because it deals more with perception."}, {"start": 512.4, "end": 516.4, "text": " Whereas the thing we are lacking currently is the cognition part so that's the reasoning part."}, {"start": 516.4, "end": 529.4, "text": " And all of these fields seem to hold certain promising ideas that can lead to us building an agent that can actually reason and be intelligent I guess."}, {"start": 529.4, "end": 534.4, "text": " As for the technical question, where do you personally struggle the most with in regards to AI?"}, {"start": 534.4, "end": 540.4, "text": " I personally, when I focus on whatever topic, I do not have problems nailing it to be honest."}, {"start": 540.4, "end": 549.4, "text": " The current problem I'm seeing is because I have a lot of context switching because I'm doing various sub-fields."}, {"start": 549.4, "end": 557.4, "text": " And so I sometimes feel like in a month I forgot, like even a paper I overviewed on my YouTube channel, I feel like I forgot many things."}, {"start": 557.4, "end": 562.4, "text": " But then like in 5 minutes, 10 minutes I can retrieve the context really quickly."}, {"start": 562.4, "end": 572.4, "text": " And I just feel a huge gap between the stuff I know before investing those 5-10 minutes in that topic."}, {"start": 572.4, "end": 578.4, "text": " Okay, sixth question. Where do you typically find the papers? I usually look at papers with code and send it to Preserver."}, {"start": 578.4, "end": 582.4, "text": " Are there more good sources that you recommend? And same question here."}, {"start": 582.4, "end": 587.4, "text": " Any tips on how to pick the relevant research papers when there are so many of them?"}, {"start": 587.4, "end": 592.4, "text": " So basically my main answer would be Twitter. Go ahead and curate your network."}, {"start": 592.4, "end": 599.4, "text": " Follow people that are passionate about the same topics you are passionate about and only follow those people."}, {"start": 599.4, "end": 605.4, "text": " So that way you'll get a full immersion. Also by creating this network of people around you,"}, {"start": 605.4, "end": 610.4, "text": " some of them can sometimes DM you and send you the hottest new paper."}, {"start": 610.4, "end": 617.4, "text": " And that's basically like a human recommender system, which is in my opinion still better than machine learning recommender systems."}, {"start": 617.4, "end": 621.4, "text": " So I personally do not even scroll, usually don't scroll through the Twitter feed."}, {"start": 621.4, "end": 627.4, "text": " I just open up certain profiles which I follow and I just check out what those guys and girls are posting."}, {"start": 627.4, "end": 632.4, "text": " Obviously from time to time I just go and scroll through the feed just to add some randomness to the process"}, {"start": 632.4, "end": 637.4, "text": " and maybe pick up on some cool new people I've missed out."}, {"start": 637.4, "end": 642.4, "text": " So for me personally I'm very curious and I don't have a single field I'm interested in,"}, {"start": 642.4, "end": 648.4, "text": " so I follow people from a bunch of different subfields and that's I guess also good for my YouTube channel because there is a lot of diversity."}, {"start": 648.4, "end": 655.4, "text": " Seventh question is how to read papers fast. And a simple answer would be there is no wisdom there."}, {"start": 655.4, "end": 662.4, "text": " You just have to do it. You have to read a bunch of papers and a couple of tips would maybe be read the abstract first,"}, {"start": 662.4, "end": 668.4, "text": " check out the figures, the charts, whatever the visualizations you have in the paper and read the conclusion."}, {"start": 668.4, "end": 674.4, "text": " After you have that you'll hopefully have some rough idea of what's going on in the paper, of the main ideas,"}, {"start": 674.4, "end": 679.4, "text": " and then you can do a single or a double pass to the paper or even more depending on what you're doing."}, {"start": 679.4, "end": 684.4, "text": " So for example when I was implementing some papers like Graph attention networks I think I've read it at least three or four times."}, {"start": 684.4, "end": 689.4, "text": " And then occasionally I just check out some snippets of the paper and that's normal."}, {"start": 689.4, "end": 693.4, "text": " And another tip would be be comfortable with not understanding stuff."}, {"start": 693.4, "end": 698.4, "text": " So sometimes you'll have to leave that paper behind even though you did not nail certain concepts"}, {"start": 698.4, "end": 702.4, "text": " and only two or three papers down the line will actually figure it out."}, {"start": 702.4, "end": 705.4, "text": " So just be patient and be comfortable with not knowing everything."}, {"start": 705.4, "end": 709.4, "text": " Eighth question, hi Alexa, your journey to DeepMind is very inspiring to me."}, {"start": 709.4, "end": 715.4, "text": " What's the biggest piece of advice you have for someone trying to self-study reinforcement learning?"}, {"start": 715.4, "end": 720.4, "text": " And a very short answer here, check out my blog on how to get started with reinforcement learning."}, {"start": 720.4, "end": 727.4, "text": " So I wrote those blogs such that Alexa from the past would be grateful if I have stumbled upon such a resource."}, {"start": 727.4, "end": 732.4, "text": " Ninth question, as a newcomer to AI ML field, could you please suggest the best place to start"}, {"start": 732.4, "end": 737.4, "text": " as I want to excel in computer vision and NLP fields and want to become a researcher."}, {"start": 737.4, "end": 740.4, "text": " Your valuable guidance in this matter will be highly appreciated."}, {"start": 740.4, "end": 746.4, "text": " So basically I created a series, a couple of blogs and a couple of videos"}, {"start": 746.4, "end": 751.4, "text": " where I basically tell you how to get started with whatever topic or with machine learning in general."}, {"start": 751.4, "end": 759.4, "text": " So I strongly suggest to check out my medium like blogs as well as two or three videos I made a while ago."}, {"start": 759.4, "end": 763.4, "text": " I'm going to link them down in the description and that's pretty much it."}, {"start": 763.4, "end": 768.4, "text": " There is not much wisdom there, just don't fall into this decision making paralysis trap"}, {"start": 768.4, "end": 773.4, "text": " and start working and be consistent with your work and you'll get there."}, {"start": 773.4, "end": 778.4, "text": " I'm trying to create the best, the optimal learning path because that's impossible."}, {"start": 778.4, "end": 783.4, "text": " Just pick one of these, I think these resources I've shared are good enough"}, {"start": 783.4, "end": 785.4, "text": " and if you just commit to them you'll nail it."}, {"start": 785.4, "end": 792.4, "text": " Tenth question, I'm planning to take a gap year between my bachelor's degree and master's degree to fill at least some gaps."}, {"start": 792.4, "end": 796.4, "text": " I don't feel like college has prepared me for the industry so just want to upskill in general."}, {"start": 796.4, "end": 802.4, "text": " I'd like to know how you approach making your own curriculum, any tips in general would be great too, thanks."}, {"start": 802.4, "end": 809.4, "text": " So basically again I think my blogs on learning how to learn and my blogs on how to get started with topic X"}, {"start": 809.4, "end": 813.4, "text": " are an excellent starting point to better understand my thought processes."}, {"start": 813.4, "end": 822.4, "text": " So on a personal note, this whole journey of mine of creating these curriculums and self-studying started at least 15 years ago."}, {"start": 822.4, "end": 829.4, "text": " So basically back in high school I was learning human languages and I had to learn those by myself"}, {"start": 829.4, "end": 836.4, "text": " and so I slowly started developing my own strategies of how to do it and I shared many of those thoughts in those blogs I mentioned."}, {"start": 836.4, "end": 843.4, "text": " So basically human languages workout, IE like physical training and working out helped me a lot,"}, {"start": 843.4, "end": 854.4, "text": " like just gained that different type of willpower and create a program, create a goal, create a program and just stick to it and kind of execute all of that."}, {"start": 854.4, "end": 863.4, "text": " So all of those skills slowly, so learning how to learn and discipline and willpower developed over a course of 15 years I guess."}, {"start": 863.4, "end": 869.4, "text": " So now even though I started in 2018 like machine learning which is pretty recent,"}, {"start": 869.4, "end": 876.4, "text": " I already had a decent background both from the technical standpoint and I also made a really strong background in learning how to learn."}, {"start": 876.4, "end": 884.4, "text": " Eleventh question, you have so many good articles, how did you acquire so much knowledge in the space in what seems like a short time?"}, {"start": 884.4, "end": 889.4, "text": " Again here at this point in time I think I have a really strong learning how to learn abilities."}, {"start": 889.4, "end": 899.4, "text": " So as I said through learning languages, through working out I developed all of the necessary ingredients like setting the goal, making a program,"}, {"start": 899.4, "end": 906.4, "text": " executing, so having that pure willpower as well as like a bunch of different learning like tricks I guess."}, {"start": 906.4, "end": 909.4, "text": " But also things like learning how to learn course helped a lot."}, {"start": 909.4, "end": 915.4, "text": " I definitely think that learning languages had a really really strong role in developing those necessary cognitive abilities"}, {"start": 915.4, "end": 922.4, "text": " that will later help me learn whatever topic I want, whether it be machine learning, software engineering, finance, what not."}, {"start": 922.4, "end": 928.4, "text": " And finally twelfth and final question, hi maybe you could make a video about your journey until today,"}, {"start": 928.4, "end": 931.4, "text": " what's your academic background, how you got into ML etc."}, {"start": 931.4, "end": 937.4, "text": " So I'm gonna keep it super brief here, I basically did like a bachelor in electrical engineering."}, {"start": 937.4, "end": 942.4, "text": " I dropped out of masters because as I said I'm a strong like a proponent of self education."}, {"start": 942.4, "end": 949.4, "text": " So I strongly believe that I can create a better program for myself than the best faculties out there like MIT or Stanford."}, {"start": 949.4, "end": 957.4, "text": " So in 2018 I attended this machine learning summer camp organized by Microsoft and I think that was the starting point for me pretty much."}, {"start": 957.4, "end": 961.4, "text": " That's it guys, let's go to 100,000 subscribers."}, {"start": 961.4, "end": 969.4, "text": " If you find these videos useful consider subscribing, share the videos out with your friends and join the Discord community."}, {"start": 969.4, "end": 972.4, "text": " Until next time, bye bye."}]