awesome, thank you!
I took linear an analytic linear algebra class some years ago, but admittedly don't remember too much. I'm beginning to study more in depth matrix analysis, this and combinatorics are useful for understanding fundamentals of many algorithms.
I've learned a little of Markov Decision Process, but i've been told by people working in the field that MDP isn't used much for neural net anymore, though this doesn't mean it shouldn't be learned. I'll definitely look into tensors.
here's a link i found looking into the subject: http://datascience.ibm.com/blog/the-mathematics-of-machine-l...
and here's some recommendations for math/ml texts i got in another thread that may be of use: https://news.ycombinator.com/item?id=13275031