u/Big-Stick4446

I have written more than 60 blogs for free which covers all the mathematics you need to understand Machine learning.

To make it more intuitive, I have added interactive simulations for every concept.
You can find all the topics such as -

> Linear Algebra (Matmul, eigenvalues, eigenvectors)
> Probability (Bayes theorm, random variables)
> Statistics (CLT, population vs sample, p-value, MLE)
> Graph Theory (GNNs, Backprop)
> Optimization (SGD, Adam, Regularization)

Link - TensorTonic