10-601 Machine Learning (Fall 2010) 
10-601 Machine Learning (Fall 2010)
Home Schedules and Handouts Assignments and Exams Projects
| Date | Lecture | Readings | Handouts | NB |
|---|---|---|---|---|
| Mon 8/23 | Intro to ML and probability | Slides | ||
| Mon 8/23 | Distributions recitation | Slides |
By Le |
|
| Wed 8/25 | Density estimation, classification theory | Chap 2.0-2.1 and 2.3-2.3.1 (Bishop) |
Slides |
|
| Mon 8/30 | Classification | Chap 1.5 and 2.5.2 (Bishop) |
Slides |
|
| Mon 8/30 | Matlab recitation 1 | Crib sheet (by Jialong He @ tiger.la.asu.edu) Tutorial |
By Le |
|
| Wed 9/1 | Bayes and Naive Bayes classifiers |
Chap 1.5 (Bishop) |
Slides PS1 Dataset for PS1 |
PS1 out |
| Mon 9/6 | No class |
|
Labor day |
|
| Wed 9/8 | No class: Matlab recitation 2 in class during class hours | Slides |
By Le |
|
| Mon 9/13 | Linear regression |
Chap 3 and 3.1 (Bishop) |
Slides |
|
| Mon 9/13 | Recitation on PS1 | Slides |
By Le |
|
| Wed 9/15 | Logistic regression |
Chap 4.3 (Bishop) |
Slides PS2 Dataset for PS2 |
PS1 due and PS2 out |
| Mon 9/20 | Decision trees | Slides |
||
| Mon 9/20 | Recitation | Slides |
By Gitter |
|
| Wed 9/22 | Boosting | Chap 14.3 (Bishop) |
Slides |
|
| Mon 9/27 | Learning theory 1 | Chap 7 (Mitchell) |
Slides |
|
| Mon 9/27 | Recitation on PS2 | Slides |
By Gitter |
|
| Wed 9/29 | Learning theory 2 | Chap 7 (Mitchell) |
Slides PS3 Dataset for PS3 |
PS2 due and PS3 out |
| Mon 10/4 | Neural Networks | Chap 4 (Mitchell) Chap 5, 5.2.3, 5.3 (Bishop) |
Slides |
|
| Mon 10/4 | Recitation | Slides Cribsheet on learning theory |
By Xu |
|
| Wed 10/6 | SVM | Chap 7.1 (Bishop) |
Slides |
|
| Mon 10/11 | SVM (continued) | Slides |
||
| Mon 10/11 | Recitation on PS3 | Slides Bayes notes |
By Xu |
|
| Wed 10/13 | Hierarchical clustering | Chap 9.0-9.2 (Bishop) |
Slides PS4 Dataset for PS4 |
PS3 due and PS4 out |
| Mon 10/18 | Kmeans and Gaussian mixtures | Chap 9.0-9.2 (Bishop) |
Slides |
|
| Mon 10/18 | Recitation | Slides |
By Le |
|
| Wed 10/20 | Model selection, feature selection | Slides |
Project proposal due |
|
| Mon 10/25 | ML in industry 1 | Slides |
||
| Mon 10/25 | Recitation on PS4 | Slides |
By Le |
|
| Wed 10/27 | ML in industry 2 | Slides |
PS4 due |
|
| Mon 11/1 | Bayesian networks | Chap 8.1, 8.2.2 (Bishop) |
Slides |
|
| Mon 11/1 | Mid-term Recitation | Slides |
||
| Wed 11/3 | Mid-term exam | Mid-term |
||
| Mon 11/8 | Bayesian networks 2 | Slides PS5 |
PS5 out mid-term solutions |
|
| Mon 11/8 | Recitation | Slides |
By Gitter |
|
| Wed 11/10 | Hidden Markov model 1 | Slides |
Project progress report due |
|
| Mon 11/15 | Hidden Markov model 2 (structure learning) | Slides |
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| Mon 11/15 | Recitation on PS5 | Slides |
By Gitter |
|
| Wed 11/17 | Principal components analysis, singular value decomposition | Slides |
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| Mon 11/22 | Markov decision process | Slides |
PS5 due |
|
| Wed 11/24 | No class | Thanksgiving |
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| Mon 11/29 | Semi-supervised learning | Slides |
||
| Wed 12/1 | Computational biology | Slides |
Poster session (NSH Atrium) |