Applied Machine Learning
BST 263
Spring 2018
Harvard University
Draft syllabus

Graphical model for a Hidden Markov Model or Kalman Filter

Advanced Stochastic Modeling
STA 531
Spring 2016
Duke University
Course materials

Rev. Thomas Bayes

Bayesian and Modern Statistics
STA 360/601
Spring 2015
Duke University
Course materials

Claude Shannon

Information theory
APMA 1710
Fall 2011
Brown University
Course website


Introduction to Machine Learning
CSCI 1950-F
Summer 2011
Brown University
Course website

video screenshot

I've created several series of video lectures, which are posted at the mathematicalmonk channel on YouTube:
Probability primer series (43 videos)
Machine learning series (160 videos)
Information theory series (54 videos)