[ilzmastr]

Are you only interested in ML practicum? What did you take after real analysis?

What are your thoughts/interests on analysis for ML, like the approximation theory that branched from Fourier and Wavelet analysis catching on with Cybenko [1], continuing with among others Mhaskar [2], most recently added to by Bolcskei [3]. And then there are other areas where analysis applies like studying the optimization of such networks...

(And of course, this is just for NNs. There are other areas of research where analysis comes into ML. And of course, real analysis lays the foundations for probability and statistics, and is not abstracted away in many research areas in these fields.)

[1](https://pdfs.semanticscholar.org/05ce/b32839c26c8d2cb38d5529...) [2](https://pdfs.semanticscholar.org/694a/d455c119c0d07036792b80...) [3](https://arxiv.org/abs/1705.01714)