Resources

Math Resources

Great Math Overflow and Stack Exchange Questions

What specific algebraic properties are broken at each Cayley-Dickson stage beyond octonions?

Awesome Quora Answers

A nice introduction to p-adics and their uses

Cool application of Elliptical Curves

Why Polinomials matter

Quick Roadmap to Algebraic Geometry

Beautiful Proof of Fermat’s Last Theorem for n = 3

Schrodinger for Mathematicians

Quick proof of Cantor’s Diagonal Argument

Why some ‘obvious’ things need to be proved

Nice Explanation of Schanuel’s Conjecture

Example of Class group theory

Another one

Thinking like a Category Theorist

Good explanation of what’s a Galois Group

How Galois Groups relate to quintics?

A nice application of Galois Theory

Another introduction to category Theory

Cool use of Generating Functions in Analytic Number Theory

Nice explanation of Heegner Numbers

Good roadmap to understand the Riemann Hypothesis

“Desmistyfying” Godels’s incompleteness theorem

Interesting use of Ramsay Theory

Nice Algebraic Construction

Cool proof that π is irrational

Definition and examples of exact sequences

Another Example of Exact Sequences

Nice way to define e

Now a nice way to define π

Cool explanation of the relationship between the Riemann Zeta and Bernoulli numbers

Nice explanation of what is topology and algebraic topology

Derivation of the RZF functional equation

Use of Algebraic Number Theory

What is Algebraic Number Theory?

What is a Galois Group?

Simple Problem of Algebraic Number Theory

Intuitive Defintion of Finite Simple Group

Derivative with respect to the order of derivative

Reddit Gems

How to become well versed in elementary results

Exploring non-high school math

A nice post about number bases

Minimum number of cells so a Sudoku is solvable

Roadmap for Algebraic Geometry for Undergrads

Good post about the Schanuel’s Conjecture

Machine Learning Resources

Overviews

Elements of AI course

Karpathy’s “Hacker’s guide to Neural Networks”

Machine Learning For Everyone

Neural Network Zoo

Deep Learning Books

Michel Nielsen’s Neural Networks and Deep Learning The Deep Learning Book

Deep Learning Courses

Stanford’s Convolutional Neural Networks for Visual Recognition

Fast.ai