Some useful resources I found while learning about machine learning.
Andrew Ng’s machine learning classes are a great place to start. For a less mathematical introduction, his Coursera class is also good. The Youtube series is from 2008, but the fundamentals haven’t changed. Finish the course before moving on to deep learning.
A proper geometric introduction to linear algebra
Geometric intuition of SVMs (max margin separating hyperplanes)
Rigorous mathematical derivation
Intro to softmax:
Intro to neural networks:
Understanding how to optimize gradient descent