[marrowgari]

If you're looking at this with the intention of getting started in Deep Learning and feeling overwhelmed by the math then Andrew Ng offers a great course on Coursera that goes over all of the formulas needed to calculate the forward propagation, loss computation, backward propagation, and gradient descent. Highly recommend it for anyone interested in breaking into the field of machine learning.

[ransom1538]

It is also all free on youtube: https://www.youtube.com/watch?v=UzxYlbK2c7E

[wuliwong]

They also have it all on Stanford's site with some other information and course materials.

https://see.stanford.edu/Course/CS229

[marrowgari]

This is great. But I find the advantage of Coursera is that it incorporates quizzes and programming homework into the lectures reinforcing the learning. Also, the material is updated and more relevant to today's ML problems then his 2008 lectures on youtube.

[ink404]

https://www.coursera.org/learn/machine-learning

this one?

[marrowgari]

this one... https://www.coursera.org/learn/neural-networks-deep-learning...

[singularity2001]

if you want to get started with machine learning you should just start with Keras and do some theory later.