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schedule [2015/10/05 12:46] asa |
schedule [2015/10/26 16:33] asa |
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| Tuesday | Expressing SVMs in terms of error + regularization; unbalanced data ({{wiki:07_svm_unbalanced.pdf | slides}}). Here's [[code:demo2d | code]] for displaying the decision boundary of a classifier. | Chapter e-8 | | | | Tuesday | Expressing SVMs in terms of error + regularization; unbalanced data ({{wiki:07_svm_unbalanced.pdf | slides}}). Here's [[code:demo2d | code]] for displaying the decision boundary of a classifier. | Chapter e-8 | | | ||
| Thursday | Nonlinear SVMs: kernels ({{wiki:08_kernels.pdf | slides}}) | Chapter e-8 | [[assignments:assignment3 | Assignment 3]] is available. Due date: 10/16. | | | Thursday | Nonlinear SVMs: kernels ({{wiki:08_kernels.pdf | slides}}) | Chapter e-8 | [[assignments:assignment3 | Assignment 3]] is available. Due date: 10/16. | | ||
- | | + | ^ Week 7: October 6,8 | | | | |
+ | | Tuesday | Kernels continued; model selection ({{wiki:09_evaluation.pdf | slides}}); a [[code:model_selection | demo]] of model selection in scikit-learn. | Chapter e-8 | | | ||
+ | | Thursday | Multi-class classification ({{wiki:10_multi_class.pdf | slides}}). And here's [[code:multi_class | how to do it]] in scikit-learn. | | | | ||
+ | ^ Week 8: October 13,15 | | | | | ||
+ | | Tuesday | Neural networks and the backpropagation algorithm ({{wiki:11_nn.pdf | slides}}) | Chapter e-7 | | | ||
+ | | Thursday | Neural networks (continued) code for [[code:neural_network | neural networks]] trained using backpropagation | Chapter e-7 | [[assignments:assignment4 | Assignment 4]] is available. Due date: 10/30. | | ||
+ | ^ Week 9: October 20,22 | | | | | ||
+ | | Tuesday | Neural networks (continued) | Chapter e-7 | | | ||
+ | | Thursday | Deep networks ({{wiki:12_deep_networks.pdf | slides}}) | Chapter e-7 | | | ||
+ | Chapter e-7 | [[assignments:assignment4 | Assignment 4]] is available. Due date: 10/30. | | ||
+ | ^ Week 10: October 27,29 | | | | | ||
+ | | Tuesday | Deep networks (continued) | Chapter e-7 | | | ||
+ | | Thursday | Features and feature selection ({{wiki:13_features.pdf | slides}}) | Chapter e-9 | | | ||
+ | ^ Week 11: November 3,5 | | | | | ||
+ | | Tuesday | Principal components analysis ({{wiki:14_pca.pdf | slides}}) | Chapter e-9 | | | ||
+ | | Thursday | Nearest neighbor methods | Chapter e-6 | | | ||
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