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rg111 · 2022-05-03 · Original thread
I was a Physics guy, a significant portion of my personality was centered around Physics.

When I started my Physics major, I had to complete two advanced Maths courses titled- Mathematical Methods I, II.

My love for Math took off from there. If you ask for books, then I would mention the MP book by Arfken, Weber, Harris. So minimal, yet straight to the point. Consistent and edifying.

I read a different Maths book in HS than what everyone else read. It was a local book, but very well written by prominent Mathematical intellectuals- the kind that write Math columns or act as mentors of syllabus advisory committee. This made a huge difference.

I liked Statistical Mechanics in college. I read Blundell and Blundell for it along with an unusual book as a reference- .

How Math explains the physical world so prominently blew my mind. I loved it.

I also watched Calculus video from MIT-OCW when in HS.

I switched to Deep Learning after college. How I could actually use Math to build something extremely practical made me love Math even more. This was the true turning point.

I now want to spend three years- part-time, studying higher math by myself. I think it is worth it, and I want to do original, basic research in the Deep Learning space.

While I keep my eye out for resources, I follow these lists-



I can recommend this book for you to read right now-

1. The Joy of X: A Guided Tour of Mathematics from Zero Infinity by Steven Strogatz. A truly remarkable book.

2. How Not to Be Wrong: The Hidden Maths of Everyday Life by Jordan Ellenberg.

YouTube videos from 3blue1brown and Numberphile also increased my love for Maths.

Edit: I read some chapters from Alex Bello's Alex's Adventures in The Numberland. It was fantastic. I can recommend it.

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