Machine learning: Difference between revisions
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* [[Media:MCMC.pdf | Markov Chain Montre Carlo]] - Gunnar | * [[Media:MCMC.pdf | Markov Chain Montre Carlo]] - Gunnar | ||
* [[Media:Intro to PCA and ICA.pdf | Introduction to PCA and ICA]] - Cindy | * [[Media:Intro to PCA and ICA.pdf | Introduction to PCA and ICA]] - Cindy | ||
* Expectation Maximization - Brandon and Jonathan | |||
* Hidden Markov models | |||
* Rate-based networks & error back-propagation learning - Scott | |||
* Support Vector Machines - Jerry | |||
* Deep belief networks | |||
* Supervised vs. unsupervised learning | |||
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Revision as of 19:35, 20 April 2016
Our Journal Club slides about ML will be posted here.
- Machine learning introduction - Gunnar
- Linear Regression - Sisi
- Linear Classification - Parisa
- Markov Chain Montre Carlo - Gunnar
- Introduction to PCA and ICA - Cindy
- Expectation Maximization - Brandon and Jonathan
- Hidden Markov models
- Rate-based networks & error back-propagation learning - Scott
- Support Vector Machines - Jerry
- Deep belief networks
- Supervised vs. unsupervised learning
Machine learning books
- Tom Mitchell's book
- Smola & Vishwanathan's book
- Daume's book
- Murphy's book
- Shalev-Shwartz & Ben-David's book
- Nilsson's book
- Harrington's book
- Ian Goodfellow, Yoshua Bengio, and Aaron Courville's book
