Did a lot of Maths again today. Finished up on the complex number series by welsh labs and then kind of got distracted with the Riemann hypothesis and the riemann zeta function, as an extension of complex numbers..
Maths leaves me with this mysterious feeling like there is more than meets the eye..
Also did some work on the Udemy Data Science course. I don’t know if I’m learning a lot through that though 🙁 but I do want to finish the course..
That’s pretty much almost 2 months now!
I got really distracted by NFT’s this Thursday and Friday.. Bought some Captcha NFTS.
Honestly I kind of just bought some because Kevin Rose tweeted about it – https://www.thecaptcha.art/
Which.. In hindsight may not be a good idea because I don’t know much about the founders of the people who are initiating the project. And the founders see the Captchas as just an “Experiment”. But I think it’s such a great idea with an interesting use case and the captchas are surprisingly beautiful so.. Hopefully it works out!
Did a lot of research into NFT’s too.. Which took me away from actual Data Science.
But I got back to studying yesterday and today, did 4 hours of work today, all maths. Trying to understand imaginary numbers and I realized the quality of content on YouTube as well. I’ll be working my way through the 3Blue1Brown Lockdown Maths series as I love the way he describes things it’s untraditional but seems to really help build my conceptual understanding 🙂
Skipped 1 day today.
Had a total electronic break!
Phone and computer were turned off the whole day!
Did cause a little situation with time as I don’t have a watch or clock in the house…
But it was extremely relaxing and rejuvenating. I was planning to do this once a month but I may have to do it more often…
Did around 3 hours of work today!
I spent a lot of time going through submissions for the Riiid competition on Kaggle. I noticed it had to do with Artificial Intelligence in Education and was thus really interested! I went through the documentation, watched the videos, saw 2 of their conference keynote speeches and then when I finally read through the code of the Kaggle competition winners I realised I knew nothing…
Spent a good 30 minutes trying to understand what a Transformer was.. But it really feels like bashing my head against a wall. It’s really cool what they’re doing though, hope I’ll be able to understand what they’re doing soon.
I decided to just follow along some simpler Regression and Classification problems first before I jump into that.
But I browsed a couple of Kaggle notebooks today just to realign myself with the original objective of doing Projects. It’s made me realize how much I don’t know, I feel like the person who studied Japanese for 3 months, but realized he can’t say anything besides “Where is the toilet” and “Where is the train station” in Japanese upon arriving at Japan.. (Hint* that person is also me).
Also did some work on descriptive statistics on Codecademy as seeing the %tage of my “Path Complete” go up makes me happy.
Followed along Ken Jees Titanic Project on Kaggle today!
I think it’s made me realize that I’ve been placing my focus wrong in some ways..
I was able to better follow along compared to when I first tried the Project on Day 19, but considering that it’s been a whole month since then, it feels like I haven’t learnt very quickly! Guess I’m hitting my learning plateau 🙁
Going to keep following along Projects as I think it’ll be a much more Direct form of learning.
Will be taking a day off electronics tomorrow though, as I’ve been wanting to take a whole day off electronics as a means of detoxing! Tomorrow will be an ideal day as the last day of the month 🙂
Also bought a chair today!! Finally sitting in a proper chair is nice.
Did a little work with matplotlib, did some algebra and statquest! Probably did an hours work!
It’s my 3rd day of relative unproductivity!
Was really productive in other aspects of my life though, did a lot of reflection, thinking and writing!
I’ve been thinking lately of a different way to keep up my studying, I’m feeling a slowed pace of learning
(Things are going in and going out right away).
I’ve deviated from my original strategy of how to study and have not been using a Retrospective Revision Timetable (Employing SRS techniques or using the Feynmann Method)
I’ve also fallen in the trap of doing too many tutorials and not enough Projects.
I think my quest for efficiency (learning more things, less focused on retaining) is hurting me in the long run!
Currently thinking of different systems or using a different method to go back on course..
Did around 30 minutes of Matplotlib work before I got distracted today 🙁
I was looking at matplotlib models one minute and information about the different L1 crypto chains the next..
There’s a lot of interesting things going on and some really smart people are trying to solve challenging problems in innovative ways!
A lot of people around me hear Crypto and instantly think Bitcoin, which is such a pity!
Did around an hours worth of work today!
Got really distracted and started researching all crypto…
I find the blooming space really interesting. I’m especially curious to see what kind of real world use cases can come out of this technology that has been slated to be the next evolution of the internet.
It’s really interesting to think that extremely smart and talented people are spending a lot of their time and effort building these really interesting protocols but most people think bitcoin when they hear crypto and fail to think a little deeper about what’s going on.
Did 3 hours 45 mins of really good focus today!
Finally started looking into Matplotlib. Finished up the NLP introduction too..
I probably will reattempt to do a Data Science Project again soon! Feel like it’s been a long delay..
Roasted a whole bunch of vegetables today! 😀 Smells good, but my cauliflowers got a little burnt.
Focused for 4 hours today!
I was so sick of going through all these different courses on Variable Statistics and different Pandas methods that I just jumped straight to NLP, as I really like languages!
It was really cool, spent a lot of time thinking about Corpuses, and how language can be split up and analysed! Also read some papers & articles around NLP for Japanese and Chinese! I’d really love to be able to do sentiment analysis of popular media across languages for example in the future. I’m only just starting out but it’s really interesting to see how the languages, being different, have to be differentially analysed by computers. For example, english words are always separated by spaces. Chinese has no such thing and some words have meaning separately but they need to be read together. Japanese has plenty of compound words where it’s difficult to distinguish the actual root word.
+ I started looking for some linguistic papers to see what were the latest research articles and!! I got reminded how science sits behind a paywall!!!??!? Which is incredibly ridiculous!!
I don’t understand.. Isn’t a core tenet of science open accessible research? Who is it benefitting to have their papers hiding behind a paywall? I think.. that while learning how to code (Resources aplenty), I’ve been brainwashed by the open-access mentality and philosophy that’s so central to coders and technologist…
But research papers are boring enough.. That even if it’s behind a paywall people will not want to look at it. It’s such a pity that young children who might want to see what we’re researching can’t even see it. I’m sure there are either some really real economic incentives (or twisted incentives) behind why most research is not openly accessible…