Machine Learning

10-601, Fall 2011

Carnegie Mellon University

Tom Mitchell, Aarti Singh


Date Time Place Topic Handouts
September 14th, 2011 6:00 - 7:00 PM Rashid Auditorium (GHC 4401)
  • Function Approximation
  • Decision Trees
  • Over Fitting
Slides
September 21th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Probability overview
  • Maximum likelihood estimation
Slides
September 28th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Naive Bayes
  • Conjugate Priors
  • Maximum A Posteriori Estimators
Slides,  Audio Recording
October 5th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Gaussian Naive Bayes
  • Logistic Regression
  • Gradient Descent
Slides
October 12th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Bias-variance Decomposition
  • Linear Regression
  • Bayes Nets
Slides
October 19th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Markov Blankets
  • Inference with Bayes Nets
  • Expectation Maximization
Slides,  Example Code,  Audio Recording
November 9th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Matrix and Vector Derivatives
  • Eigenvalues and Eigenvectors
  • Singular Value Decomposition
  • Principle Component Analysis
Slides
November 16th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Principle Component Analysis
  • Clustering
  • Constrained Optimization
Slides
November 30th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Support Vector Machines
  • Boosting
Slides
December 7th, 2011 6:00 - 7:00 PM Wean Hall 7500
  • Final review
Slides