Machine learning: Difference between revisions
No edit summary |
No edit summary |
||
| Line 7: | Line 7: | ||
* [[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 | * Expectation Maximization - Brandon and Jonathan | ||
* Hidden Markov | * [[Media:HMM-parisa.pdf | Hidden Markov Models]] - Parisa | ||
* [[Media:ML-ANNs.pdf | Rate-based networks & error back-propagation learning]] - Scott | * [[Media:ML-ANNs.pdf | Rate-based networks & error back-propagation learning]] - Scott | ||
* Support Vector Machines - Jerry | * Support Vector Machines - Jerry | ||
Revision as of 17:35, 24 May 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
- 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
