Here's what I've found along the lines of "mathematics for machine learning": * DS-GA 1002: Statistical and Mathematical Methods (http://www.cims.nyu.edu/~cfgr

Here's what I've found along the lines of "mathematics for machine learning": * DS-GA 1002: Statistical and Mathematical Methods (http://www.cims.nyu.edu/~cfgranda/pages/DSGA1002_fall15/index.html http://www.cims.nyu.edu/~cfgranda/pages/DSGA1002_fall15/inde...) by Carlos Fernandez-Granda of NYU (There is a 2016 version of the course with different lectures notes as well.) * Numerical Algorithms (http://people.csail.mit.edu/jsolomon/share/book/numerical_book.pdf http://people.csail.mit.edu/jsolomon/share/book/numerical_bo...) by Justin Solomon * Math for Intelligent Systems, 2016 (https://ipvs.informatik.uni-stuttgart.de/mlr/teaching/maths-ws1516/ https://ipvs.informatik.uni-stuttgart.de/mlr/teaching/maths-...) by Marc Toussaint & Hung Ngo of University Stuttgart * Math for Intelligent Systems, 2015 (https://ipvs.informatik.uni-stuttgart.de/mlr/teaching/mathematics-for-intelligent-systems/ https://ipvs.informatik.uni-stuttgart.de/mlr/teaching/mathem...) by Nathan Ratliff of University Stuttgart * Mathematics for Inference and Machine Learning (http://wp.doc.ic.ac.uk/sml/teaching/mathematics-for-machine-learning-autumn-2016/ http://wp.doc.ic.ac.uk/sml/teaching/mathematics-for-machine-...) by Stefanos Zafeiriou and Marc Deisenroth of Imperial College London Most of these are lectures notes. Some are very detailed, but I think there is still space for a completely fleshed out book on the subject.