Machine Learning Courses

Index of Machine Learning Courses

Advanced Methods in Decision Support and Data Mining, Jose Pena & Tomas Kocka, Aalborg University
Machine Learning, Altay Guvenir, Bilkent University, Turkey.(Spring '02)
Introduction to Machine Learning and Neural Networks, Dan Ventura, Brigham Young University.
Machine Learning, Carlos Guestrin and Tom Mitchell, Carnegie Mellon University.
Machine Learning Theory, Avrim Blum, Carnegie Mellon University. (Fall 1995)
Topics in Machine Learning, Rick Caruana, Cornell University (Spring 2003)
Introduction to Machine Learning, Ammon Shashua, Hebrew University of Jerusalem.
Computational Learning Theory and Neural Networks, Martin Anthony, The London School of Economics and Political Science
Machine Learning, Dan Melamed, New York University
Machine learning, Vasant Honavar, Iowa State University.
Advanced Topics in Artificial Intelligence and Cognitive Modelling (a special topics course which sometimes covers machine learning), Vasant Honavar, Iowa State University, (Spring 2001).
Computational Models of Learning, Vasant Honavar, Iowa State University.
Machine Learning, Steven Salzberg Johns Hopkins University (Spring 1996).
Machine Learning and Inductive Inference Hendrik Blockheed, Katholieke Universiteit Leuven, Belgium
Machine Learning, Ron Rivest, Massachusetts Institute of Technology. (Fall 1994)
Machine Learning, K. Korb, Monash University, Australia
Intelligent Systems I, Oxford University, UK. (requires registration to access full course materials)
Intelligent Systems II, Oxford University, UK. (requires registration to access full course materials)
Machine Learning, Carla Brodley, Purdue University. (Fall 1995)
Machine Learning Course, Zdravko Markov, Sofia University
Machine Learning, Andrew Ng, Stanford University
Statistical Machine Learning, Jacob Goldberger, Weizman Institute (Fall 2002/03)
Machine Learning, Michael Cox, Wright State University.
GSLT: Machine Learning, Joakim Nivre, et. al, Växjö Universitet, Sweden

Knowledge Acquisition and Machine Learning, Katharina Morik, University of Dortmund, Germany. (In German)

Machine Learning, Ricardo Vilalta, University of Houston

Data Mining, Mark Last, University of South Florida. (fall 1999, files are password protected)

Machine Learning, Raymond Mooney, University of Texas

Machine Learning and Case-Based Reasoning, Agnar Aamodt, University of Trondheim, Norway.

Machine Learning, Jude Shavlik, University of Wisconsin-Madison

Index of Neural Networks Courses

Neural Networks, Robert Keller, Harvey Mudd College (Fall 1997)
Neural and Evolutionary Computation, Jin Tian, Iowa State University.
Artificial Neural Networks, David Noelle, Vanderbilt University
Neural Networks, Richard Zemel, University of Arizona
Neural Networks, Jonathan Shapiro, The University of Manchester

Neural Computation with Artificial Neural Networks, Stefan Shaal, University of Southern California (Fall 2003)

Neural Networks, M.T. Manry, University of Texas at Arlington

Introduction to Artificial Neural Networks and Fuzzy Systems, Yu Hen Hu, University of Wisconsin-Madison

Index of Probabilistic Graphical Models and Bayesian Networks Courses

Bayesian Networks and Graphical Models, Bent Jorgensen, Danish Institute of Agricultural Sciences

Special Topics in Belief Networks, Mark Peot, Duke University

Introduction to Probabilistic Graphical Models, Yair Weiss, Hebrew University of Jerusalem

Bayesian Networks, Dan Geiger, Israel Institute of Technology

Genetic Networks: Models and Estimation, Korbinian Strimmer, Ludwig-Maximilians Universitat

Reasoning Under Uncertainty, Ann Nicholson & Kevin Korb, Monash University

Probabilistic Models in Artificial Intelligence, Stanford University

Probabilistic Modelling and Reasoning, Chris Williams, The University of Edinburg

Introduction to Graphical Models, Wim Wiegerinck, University of Nijmegen, Netherlands

Bayesian Networks and Decision Graphs, Marco Maltorta, University of South Carolina

Decision Making under Uncertainty, Craig Boutilier, University of Toronto

An Introduction to Bayesian Networks, Thomas Richardson, University of Washington

Bayesian Networks, James Cussens, The University of York

This page is maintained by: Vasant Honavar and Oksana Yakhnenko, Artificial Intelligence Research Group, Department of Computer Science, Iowa State University, Please send suggestions, additions, or changes to: honavar@cs.iastate.edu or oksayakh@iastate.edu