Mathematics-for-Machine-Learning-List

[Site & Reference List]

COM4509/COM6509 Machine Learning and Adaptive Intelligence 2015-16
http://inverseprobability.com/mlai2015/

Probabilistic Graphical Models (MIT)
http://people.csail.mit.edu/dsontag/courses/pgm13/
Probabilistic Graphical Models (Notre Dame)
https://www.zabaras.com/probabilistic-graphical-models
Brown CS 242 Probabilistic Graphical Models, Fall 2016.
http://cs.brown.edu/courses/cs242/lectures/

Optimization (Stanford)
http://adl.stanford.edu/aa222/Lecture_Notes.html
Convex Optimization: Fall 2016 (CMU)
http://www.stat.cmu.edu/~ryantibs/convexopt
EE 227C (Spring 2018) Convex Optimization and Approximation (Berkeley)
https://ee227c.github.io/

Advanced Machine Learning
https://mathematical-coffees.github.io/mc13-advanced-ml/

Mathematics for Computer Science (MIT)
https://ocw.mit.edu/.../6-042j.../video-lectures/

khan-academy https://www.khanacademy.org/math/multivariable-calculus/thinking-about-multivariable-function

Convex Optimization https://wikidocs.net/20584