debanjan16

If you have self learned any topic from mathematics either from books or from online courses, can you share a list of them and why do you think they are great?

There are such lists for CS but very few for mathematics.

The materials may include courses, tutorials, books, etc.

The topics can include:

1. Data pre-processing

2. Library specific tutorials (e.g. PyTorch, MxNet, scikit-learn, etc)

3. Building things from scratch (using numpy, scipy, vanilla python, etc)

4. Foundations and theory behind the popular algorithms

5. Applications like Computer Vision, NLP, etc.

6. How to read and implement research papers.

7. The math of ML/DL

The difficulty of the materials can be anything ranging from someone with programming experience starting out or someone who is a practitioner and wants to look at more deeper explanations.

Your favorite language can be anything - Lisp, Python, C, Haskell, etc.

Which codebases are the most elegant ones written in your favorite language that new comers to the language can learn something from?

I have observed that no problem seems unsolvable for game developers. You throw a complicated problem at them, they will create a solution (in whatever way) and make the thing work. The first solution is not always the most efficient one.

How is that tremendous power gained?

Also so much have come out of the game development world like Perlin noise for terrain generation, fast inverse square root, etc.

Are game developers the only raw hackers like the 70s that exist today?

This is not a post/rant about dropping out of college. Infact Jeff Dean, Torvalds all went to college/grad school.

But what I am specifically talking about is their capabilites as engineers. They are not mere scientists who prove something or theorise about something or solve an algorithmic problem. They of course do that but they do much more. They assemble things in correct order. Not just random things. Things that will match the rhythm of the entire thing and also have an identity of its own. They see the small things and the eagle-eye view of the entire project at once.

Torvalds built Linux in grad school. He used C. He had to build everything himself. The code quality is one of the finest. He was an engineer more than anything.

How is this achievable? Only through rigorous self study of the correct material?

Have you met such awesome engineers? Where did they get their abilities?

The link to the post: https://sive.rs/kimo.

Has anyone successfully implemented this method to learn something in a short span of time than was meant to be completed?

Like coasting through courses, books, tutorials on whichever subject you were studying.

If you remember the materials and strategies you used to achieve this feat can you share that experience with us?