Learning Mathematics of Machine Learning

In September of 2017 a small group of interested mathematics and computer science grad students, postdocs and professors began meeting to learn mathematical ideas arising in machine learning. The group currently meets on Tuesdays at 10AM in BA1240.

• Lecture notes on character recognition by Nicholas Hoell
• Lecture notes on SVM by Amit Bermanis page 1, page 2, page 3
• Lecture notes on linear and quadratic discriminant analysis by Nicholas Hoell
• Lecture notes on Riemannian geometry in neural nets by Tristan Milne