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schedule [2016/10/06 14:55] asa |
schedule [2016/11/01 14:08] 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}}) | [[http://www.jmlr.org/papers/v3/guyon03a.html | An Introduction to Variable and Feature Selection]]. Isabelle Guyon, André Elisseeff; 3(Mar):1157-1182, 2003. | | | ||
+ | | Thursday | Principal components analysis (PCA) | Chapter e-9 | | | ||
+ | |||
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