syllabus
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- 01_intro.pdf
- 2018/08/19 22:04
- 4.6 MB
- 02_linear.pdf
- 2018/08/27 12:39
- 6.5 MB
- 03_linear_regression.pdf
- 2018/09/05 11:15
- 8.9 MB
- 04_logistic_regression.pdf
- 2018/09/12 10:45
- 8.1 MB
- 05_overfitting.pdf
- 2018/09/13 19:06
- 2.5 MB
- 06_regularization.pdf
- 2018/09/17 10:44
- 3.1 MB
- 07_classifier_accuracy.pdf
- 2018/09/21 15:48
- 452.9 KB
- 08_svm.pdf
- 2018/09/26 10:36
- 5.1 MB
- 09_svm_loss_unbalanced.pdf
- 2018/10/01 12:52
- 1.4 MB
- 10_kernels.pdf
- 2018/10/03 11:02
- 4.9 MB
- 11_evaluation.pdf
- 2018/10/08 15:42
- 253.8 KB
- 12_nn.pdf
- 2018/10/24 11:12
- 26 MB
- 13_deep_networks.pdf
- 2018/10/31 12:21
- 6.3 MB
- 14_multi_class.pdf
- 2018/11/05 11:52
- 300 KB
- 15_feature_selection.pdf
- 2018/11/07 11:22
- 2.3 MB
- 16_pca.pdf
- 2018/11/12 10:37
- 2.9 MB
- 17_nearest_neighbors.pdf
- 2018/11/14 09:46
- 4.2 MB
- 18_clustering.pdf
- 2018/11/26 11:17
- 3.8 MB
- 19_ensembles.pdf
- 2018/11/27 10:48
- 2.6 MB
- 20_course_summary.pdf
- 2018/11/27 10:54
- 3.8 MB
- dokuwiki-128.png
- 128×128
- 2016/07/03 10:08
- 27.2 KB
- yeast2.data
- 2016/08/09 10:25
- 659.1 KB
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syllabus.txt · Last modified: 2018/08/28 12:24 by asa
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