Courses
2011 Spring
- CSC321 Introduction to Neural Networks and Machine Learning (Geoffrey Hinton)
- CSC2541 Topics in Machine Learning: Bayesian Methods for Machine Learning (Radford Neal)
- CSC2535 Advanced Machine Learning (Geoffrey Hinton)
2010 Fall
- CSC411 Machine Learning and Data Mining (Richard Zemel)
- CSC2515 Introduction to Machine Learning (Richard Zemel)
2010 Spring
- CSC2515 Introduction to Machine Learning (Richard Zemel)
2009 Fall
- CSC411 Machine Learning and Data Mining (Richard Zemel)
- CSC2545 Kernel Methods and Support Vector Machines (Anthony Bonner)
2009 Spring
- CSC321 Introduction to Neural Networks and Machine Learning (Geoffrey Hinton)
- CSC2541 Topics in Machine Learning: Statistical Models in Computational Molecular Biology (Quaid Morris)
- CSC2506 (412) Probabilistic Learning and Reasoning (TBA)
- CSC2417 Algorithms for Genome Sequence Analysis (Michael Brudno)
2008 Fall
- CSC411 Machine Learning (Aaron Hertzmann)
- CSC2515 Introduction to Machine Learning (Geoffrey Hinton)
2008 Spring
- CSC321 Introduction to Neural Networks and Machine Learning (Geoffrey Hinton)
- CSC2535 Advanced Machine Learning (Richard Zemel and Geoffrey Hinton)
- CSC2431 Topics in Computational Biology: Next Generation Sequencing Technology (Michael Brudno)
2007 Fall
- ECE1508 Probabilistic Inference Algorithms and Machine Learning (Brendan Frey)
- CSC2515 Introduction to Machine Learning (Geoffrey Hinton and Richard Zemel)