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schedule [CS545 fall 2016]

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schedule [2016/10/06 14:55]
asa
schedule [2016/11/08 09:13]
asa
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 | Tuesday ​                 | SVMs for unbalanced data  ({{wiki:​07_svm_unbalanced.pdf | slides}}) ​ Nonlinear classification with kernels ({{wiki:​08_kernels.pdf | slides}}) | Chapter e-8  |  [[assignments:​assignment4| Assignment 4]] is available. ​ | | Tuesday ​                 | SVMs for unbalanced data  ({{wiki:​07_svm_unbalanced.pdf | slides}}) ​ Nonlinear classification with kernels ({{wiki:​08_kernels.pdf | slides}}) | Chapter e-8  |  [[assignments:​assignment4| Assignment 4]] is available. ​ |
 | Thursday ​                 | Kernels (continued);​ [[code:​model_selection|model selection]] using grid search ​ | Chapter e-8  |  | | Thursday ​                 | Kernels (continued);​ [[code:​model_selection|model selection]] using grid search ​ | Chapter e-8  |  |
 +^ Week 8:  October 11,13    |                           ​| ​                     |               |
 +| Tuesday ​                 | Model selection ​ ({{wiki:​09_evaluation.pdf | slides}}). ​ Multi-class classification ({{wiki:​10_multi_class.pdf | slides}}), a [[code:​multi_class| demo]] of multi-class classification | Chapter 4.3.3  |    |
 +| Thursday ​                 | Neural networks ({{wiki:​11_nn.pdf | slides}}) | Chapter e-7  |  |
 +^ Week 9:  October 18,20    |                           ​| ​                     |               |
 +| Tuesday ​                 | Neural networks (continued); ​ neural network [[code:​neural_networks| demo]] ​ | Chapter e-7  |  [[assignments:​assignment5| Assignment 5]] is available. ​ |
 +| Thursday ​                 | Neural networks (continued);​ deep learning ({{wiki:​12_deep_networks.pdf | slides}}) ​ | Chapter e-7  |  |
 +^ Week 10:  October 25,27    |                           ​| ​                     |               |
 +| Tuesday ​                 | Deep learning (continued) ​ | Chapter e-7  |    |
 +| Thursday ​                 | [[code:​theano| Theano]]. ​ Features ({{wiki:​13_features.pdf | slides}}) ​ | Chapter e-9  |  |
 +^ Week 11:  November 1,3    |                           ​| ​                     |               |
 +| Tuesday ​                 | Feature selection ({{wiki:​13_features.pdf | slides}}); feature selection[[[code:​feature_selection| demo]]. | [[http://​www.jmlr.org/​papers/​v3/​guyon03a.html | Introduction to Variable and Feature Selection]]. ​  ​| ​   |
 +| Thursday ​                 | Principal components analysis (PCA) ({{wiki:​14_pca.pdf | slides}}) [[code:​pca|demo of pca]]  | Chapter e-9  | [[assignments:​assignment6| Assignment 6]] is available. |
 +^ Week 12:  November 8,10    |                           ​| ​                     |               |
 +| Tuesday ​                 | Nearest neighbor methods ({{wiki:​15_nearest_neighbors.pdf | slides}}); [[code:​nearest_neighbors | demo]]. | Chapter e-6  |    |
 +| Thursday ​                 | Clustering ({{wiki:​16_clustering.pdf | slides}}) ​ | Chapter e-6  |   |
 +
 ... ...
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schedule.txt ยท Last modified: 2016/12/05 10:38 by asa