Machine Learning

10-601, Spring 2015

Carnegie Mellon University

Tom Mitchell and Maria-Florina Balcan




Date Lecture Topics Readings and useful links Handouts
Jan 15 Math Review
Decision Trees
    Notes
Jan 22 Octave tutorial
MLE and MAP
    Video
Jan 30 Naive Bayes
    Video
Feb 5 Regression
    Slides
Video
Feb 12 Learning theory
    Video
Feb 19 Graphical models
    Video
Feb 26 Additional practice with graphical models
    Video
Mar 5 Midterm solutions review
    Video
Mar 19 Boosting
    Video
Mar 26 SVM
    Video
Apr 2 Semi-supervised and Active Learning
    Video
Apr 9 Dimensionality reduction
PCA
    Video
Apr 16 Neural networks
    Video
Apr 24 Exam review
    Video