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Tina Huang — How to self study technical things | Tina Huang. Machine-transcribed; use the interactive transcript above to jump the player to any line.
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제êt 그 schizophrenic 고마 כל Guangdi 다시 보고 있는 사�ins이 I'm maximizing accountability by putting myself in situations where if I don't do the thing I'll be going back on a promise and disappointing people For example I made a vlog saying that I'll be doing a project an NLP and that I will release it next week People said they were really excited to see it and some of them wanted to use it as a starting point and also learning NLP and let me tell you it was hard I stayed up nice to get it done but the idea of going back on what I said and having to make an announcement in fact I wouldn't be releasing it next month it was more painful 그래서 I persevered Another example that is actually still going on right now
is when I announced I'll be live streaming myself studying for 2 hours a day on Monday, Tuesday, and Friday every week I put it on a public Google Calendar and scheduled live streaming sessions on YouTube I literally hate pastina sometimes when I have to pull myself out of bed to go to these live streaming sessions but I remember how much I love the community and our chats about data science your finance and tech and cats but really what gets me is the idea of potentially disappointing all the people that join my live streams and use it to boost their own productivity and that had never failed to get me out of that 1.5 months and counting this live streaming example is also a great example to illustrate another concept a calm ability is compounded by consistency and habit I consistently stream on Monday, Tuesday, and Friday from 7.30 to 9.30 CST and over time it's become a habit and I still hate pastina sometimes if I'm really tired from the previous day but the more I continue doing this, it's become much easier to get myself out of bed and many days I actually really look forward to starting my day
learning and chatting with you awesome people that come into my live stream shout out to Luke, Rischard, Calista, Lloyd, 2310, Sammy, Michael C from Georgetown, Ontario Scott Miller, Stubby, Farhan, and many many other people that showed consistently to study with seriously, thank you guys because I would not have been able to do it without I also wanted to talk on another bonus with it that works for a lot of people it's having money at stake, like having a paper program, of course this one doesn't work really well for me personally because unless it's an exhortment amount of money like my master's degree I'm not motivated enough to do it I have heard that this is how many people's they motivated them in any case, I encourage you to introspect about what really matters to you and think about how you can inject some more accountability and habits into your own learning journey to maximize your chances of successfully learning the technical skill of your games now let me also tell you about the optional upgrade to this framework that's even better so it's something I've done a lot in the past to supercharge my own learning process it also provides a clear solution to the question I often get from people
which is how do you exactly know when you've learned enough to start doing your project? well, it's to find a project first some examples of this is to get a job in that field or sign yourself off her project with consequences that matter to you when I really wanted to learn to code and to do data science I failed miserably trying to self-study so after 100 cold emails were so I managed to convince a professor to hire me he was taking a chance on me but I think he figured it was worth it since he wanted to get hiring over with and I would only be part time starting off and it was Mino of Wage well, I'm incredibly grateful to him because this really kick started my learning since I now had a project, it really grounded me this time when I started an online course and went through documentation for R the programming language at the lab uses I now had a purpose in mind which is to finish this project I also had a natural answer now to when I learned enough it's when I can complete my assigned project every day I would look at what I'm supposed to be doing not know how to do it and then work towards figuring out how to do it
and slowly I learned just enough R to be able to complete my task then I was given another project so that's where the whole iteration step comes in I looked at what I'm supposed to do not know how to do it and so whether the whole process of figuring it out slowly but surely I learned R not just the principle we're learning a bunch of district functions we're how to manipulate some perfectly clean data to reach an arbitrary conclusion as part of course no no no I've really learned it I could now visit in whatever project I needed it and if there's something I don't know I have to correct mindset and process to figure it out and all of this came from focusing on implementation and practicing this thing yes it was hard and stressful but guess what? I did it it's actually a brilliant setup because I was so freaking accountable I couldn't just give up because the professor is paying me and I signed a contract plus I was getting paid to work which is a really nice bonus another thing I have done in the past is to sign myself up for projects that have real consequences some examples of this I've done are pro bono consulting gigs and hack-a-bots
remember how I said that what I care about a lot is not disappointing other people well these projects are done in teams so if I didn't hold my weight I'll be disappointing my teammates I negatively impact them since they would have to go and pick up my son so that motivates me enough to get up I also wanted to make a tiny future announcement we're more like foreshadowed I'm working with some really awesome technical people to help develop a program that helps folks do end-to-end real life projects as part of the team of cross-pronged people partners like data science, ML backend, front end and UX more needs to come in the next few months so do stay tuned and make sure to subscribe to the channel if you're interested in finding out and finally as promised a whole section dedicated to how to learn technical things effectively and efficiently this is the method that I've developed over the years by no means is it perfect and I'm still continuously tweaking and perfecting over time it also won't suit everybody but these methods have helped me a lot and I hope that might also help you for most technical things if you're gonna go through a course of book or lectures
the best way to learn is to take notes of the higher level concepts and focus on understanding what's happening do not take copious amounts of notes and try to get all the details because as I've explained before knowing it won't help you much in doing it you'll pick up the practical details anyway when you're implementing the project I also don't recommend not taking any notes at all though because studies do show that taking notes helps you stay focused retain information better and not get distracted by your cap so yes, take notes but don't take copious amounts of notes focus on understanding the higher level concepts and definitely don't worry about trying to memorize things or understanding every single little detail I prefer learning through video lectures and I typically watch at 2 to 2.5 times speed this helps me get the little lectures faster and forces me to take notes of all the important things because I literally can't write fast enough to write down everything another good way to think about your notes is that it's a framework for how information fits together so at least you know what you don't and you can google what you don't know to fill in the gaps when the information becomes relevant I hope that makes sense the next tip is that if you have a powerful exercises
from the course you're taking do not skip though remember, doing is the best way of learning and by implementing things yourself you have a much stronger grasp of the material and it will make doing the project easier and my final tip is especially relevant for those of you that are using the supercharged method of finding a project first it is to not be married to a single course but video series work resource in general I used to have this mindset that if I started something and didn't finish it then I was a failure and it took me a really really long time to realize that is not the case at all resources are just tools what matters is a complicated goal I now know that learning is not in linear process and yes, there are fantastic introductory resources out there but realistically no resources able to give you exactly what you need so if you feel like a course is going into details or subjects that are not really relevant to the project or maybe you just don't like being strapped or something then skip it or find another resource maybe the details and subjects that you skip will become relevant later when you're going through the iterative phase some time in the future
then just come back to it then do not feel obligated to finish a course you don't think is relevant remember, your ability to complete your project is your guiding light so do we have to do to learn just enough so you can start working on your project alright, so as a summary in this video we covered this framework in detail the supercharged method of finding a project first I wanted to use to learn and strategies to learn more efficiently and effectively ah! that was an intense video I'm going to go watch some anime I hope the video was helpful and I'll see you guys in the next video where I stream
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