How do I become proficient at Machine Learning?

It involves a lot of statistics, and for that reason it's one of the most boring fields of computer science.

>>58445832
Statistics and probability, calculus, linear algebra is what I got so far.
> simple matrix multiplications, cross-products, dot-products, L-U factorization, (non)linear optimization, calculating computation complexity, numerical methods, root finding, game theory, partial pivoting, Householder reflections, Givens rotations, and of course, the Power Method, SVD, Eigen decomposition.

What else do i need to learn to become a part of the AI revolution?

>>58445931
Well start learning. I'm pretty sure there's several online courses on it.

>>58445983
I want to get all the materials before I close my cave shut and get to it. Was hoping for expert advice here on /g/. It can't possibly be that /sci/ is more educated on the topic?

Fucks sake.

>>58446082
>Was hoping for expert advice here on /g/.
Try /x/, it would probably be better than /g/

>>58445771
If you want to get hired at Google you're going to want to get a PhD specializing in machine learning. So, level up your calculus, linear algebra, statistics, probability, general discrete mathematics as a baseline. Then I would aim to understand algorithms and traditional AI, possibly automata theory as well.

Then, finally, learn machine learning. You should learn the theory of learning (see Learning From Data for a good intro) first. Then you can dive into areas such as neural networks, computer vision, statistical NLP, etc.