Math 1900: Introduction to the Mathematics of Machine Learning
emails:
Michael Schneier: mhs64@pitt.edu
John Burkardt: jvb25@pitt.edu
Homework
Homework
Lab 1 (you do not need to turn anything in)
Lab 2 (Due 9/13 by 11:59pm)
Lab 3 (Due 9/20 by 11:59pm)
Lab 4 (Due 10/2 by 11:59pm)
Lab 5 (Due 10/9 by 11:59pm)
Lab 6 (Due 10/16 by 11:59pm)
Lab 7 (Due 10/23 by 11:59pm)
Lab 8 (Due 10/30 by 11:59pm)
Lab 9 (Due 11/6 by 11:59pm)
Lab 10 (Due when you get it working)
Lab 11 (Due 12/13)
Codes
Codes
Class Notes/Outside Material
Class Notes/Outside Material
- Syllabus
- Notes on K-means algorithm by Christian Bauckhage
- Website giving examples of the K-means algorithm in action
- Convex Optimization textbook by Stephen Boyd and Lieven Vandenberghe
- SGD Presentation
- SVM with Kernel Method Visualization
- Convnet Visualization