Lecture Notes | Algorithmic Aspects of Machine Learning | Mathematics

Algorithmic Aspects of Machine Learning
© 2015 by Ankur Moitra.
Note: These are unpolished, incomplete course notes.
Developed for educational use at MIT and for publication through MIT OpenCourseware.

Lectures are based on the monograph, Algorithmic Aspects of Machine Learning (PDF - 1.6MB). Additional notes and slides are also provided below.

Lecture Notes Files.
SES #	TOPICS
1	Introduction (PDF)
2–5	Nonnegative Matrix Factorization (PDF) New Algorithms for Nonnegative Matrix Factorization and Beyond (PDF - 1.8MB)
6–12	Tensor Decompositions (PDF) Tensor Decompositions and Their Applications (PDF - 1.9MB)
13–17	Sparse Coding (PDF) Alternating Minimization via Approximate Gradient Descent (PDF - 1.3MB)
18–22	Learning Mixture Models (PDF) Method of Moments and Systems of Polynomial Equations (PDF - 1.5MB)
23–26	Linear Inverse Problems (PDF)