| --Date-- | Topic | Reading | Presenter | What's due |
|
|---|
| Jan 8
| Introduction
| Ch 1
|
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|
| Supervised learning |
Jan 10
| Supervised learning and linear regression
| Ch 2.6,2.1-2.3
|
|
|
Jan 15
| Linear regression and k-means
| Ch 2.1-2.5
|
| Form project groups and email devika@rice.edu
|
| Jan 17
| Locally weighted regression
| Ch 2.8
|
|
|
| Jan 22
| Additive models and maximum likelihood estimation
| Ch
|
|
|
| Jan 24
| Bias/variance of estimators, active regression, WEKA examples
| Ch 3.1-3.2 HTF
|
|
|
| Jan 29
| Non parametric techniques: nearest neighbor, WEKA examples
| Ch 3.3 HTF
|
|
|
| Jan 31
| Classification: generative and discriminative models, LDA and QDA
| Ch 2.8.2, 6.3 HTF
|
|
|
| Feb 5
| Logistic regression, gradient ascent, backprop, WEKA examples
| Ch 3.3-3.5 HTF
|
| Proposal due (project page URL due)
|
| Feb 7
| Support vector machines and kernel techniques
| Ch 4.1,4,2,4.4 HTF
|
|
|
| Feb 12
| Support vector machines and kernel techniques
| Ch 4.3 HTF
|
| Prog report 1 due (project page URL due)
|
| Feb 14
| Naive bayes, text classification, feature selection, WEKA examples
| Ch 4.5 HTF
|
|
|
| Feb 19
| Bayesian network models: parameter learning
| Ch 5.1-5.3 HTF
|
|
|
| Feb 21
| Bayesian network models: structure learning, intro to BDAGL
| Ch 5.4-5.6 HTF
|
|
|
| Feb 26
| Model selection
| Ch 5.8-5.9
|
|
|
| Feb 28
| Ensemble methods: bagging and boosting
| Ch 12.1,12.2,12.3.1-12.3.4 HTF
|
|
|
| Mar 4
| Spring break
|
|
| Prog report 3 due (project page URL due)
|
| Mar 6
| Spring Break
|
|
|
|
| Unsupervised learning |
| Mar 11
| Clustering and k-means
|
|
|
|
| Mar 13
| Expectation maximization and mixtures of Gaussians
| Ch 6.1-6.4 HTF
|
| Prog report 2 due (project page URL due)
|
| Mar 18
| Factor analysis: PCA, MDS
| Ch 6.4-6.79 HTF
|
|
|
| Mar 20
| ICA and Isomap
| Ch 6.8-6.9
|
|
|
| Sequential learning |
| Mar 25
| Learning Hidden Markov models and dynamic Bayesian networks
| Ch 7, HTF
|
|
|
| Mar 27
| Markov decision processes, value and policy iteration, LQR
| Ch 8, HTF
|
| Prog report 4 due (project page URL due)
|
| Apr 1
| Q learning, value function approximation
|
|
|
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| Apr 3
| Spring Recess
| Policy learning
|
|
|
| Apr 8
| Student presentations of papers
| Ch 10, HTF
|
|
|
| Apr 10
| Student presentations of papers
| Ch 10, HTF
|
|
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| Apr 12
| Student presentations of papers
| Ch 15, HTF
|
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| Apr 17
| Final project presentations
| Ch 10, HTF
|
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| Apr 21
| Final project presentations
| Ch 10, HTF
|
| Draft final report due (project page URL)
|