Advanced Introduction to Machine Learning

10-715, Fall 2018

Carnegie Mellon University

Maria-Florina Balcan




Date Lecture Location Time Handouts
Sept 4 Decision Trees, Information Theory
PH A18A
5-6pm
Mitchell Chapters 1, 2,
6.1-6.3
Sept 11 Logistic Regression, Naive Bayes
PH A18A
5-6pm
Mitchell: Naive Bayes, Logistic Regression
Sept 18 Convexity, Gradient Descent
GHC 8228
5-6pm
Ryan's Notes
Ryan's Slides
Sept 28 VC Dimension, Rademacher Complexity GHC 8228
4-5pm
Nina's old notes
Oct 2 SVMs GHC 4215
5-6pm
Chapter 15, 26.3 of Shalev-Shwartz and Ben-David
SVM Notes by Andrew Ng
Oct 9 Project Proposals GHC 4215
5-6pm
--
Oct 16 Recurrent Neural Networks GHC 4215
5-6pm
Russ's Slides
Oct 23 Neural Networks GHC 4215
5-6pm
Notes
Oct 30 --Cancelled--
GHC 4215
5-6pm
--
Nov 6 Expectation Maximization GHC 4215
5-6pm
Prev 10715 Slides
CS229 Notes
CS229 Notes
Nov 13 Clustering GHC 4215
5-6pm
Notes
Nov 20 Active Learning GHC 4215
5-6pm
Nina's Notes
Nov 27 --Cancelled-- GHC 4215
5-6pm
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