Difference between revisions of "Machine learning"
| Line 6: | Line 6: | ||
* [[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 | + | * [[Media:EM_algorithm.pdf | Expectation Maximization]] - Brandon and Jonathan |
* [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa | * [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa | ||
* [[Media:KalmanFilter.pdf | Kalman filter]] - Josh | * [[Media:KalmanFilter.pdf | Kalman filter]] - Josh | ||
Revision as of 19:33, 21 June 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 - Parisa
- Kalman filter - Josh
- 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
