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Ali Ghodsi, Lec 1: Intro, LDA, PCA
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Classroom Contents
Supervised Learning - STAT 841 Fall 2017
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- 1 Ali Ghodsi, Lec 1: Intro, LDA, PCA
- 2 Ali Ghodsi, Lec 2: QDA, PCA
- 3 Ali Ghodsi Lec 3 FDA
- 4 Ali Ghodsi Lec4 Logistic regression
- 5 Ali Ghodsi Lec5 Model selection, Neural Networks
- 6 Ali Ghodsi Lec 7 Back Propagation, RBN
- 7 Ali Ghodsi Lec 8, Complexity control for RBN
- 8 Ali Ghodsi Lec 9, Regularization, Hard Margin SVM
- 9 Ali Ghodsi Lec 10, SVM, Kernel SVM
- 10 AliGhodsi Lec 11, Soft Margin SVM
- 11 AliGhodsi Lec 12, Metric Learning
- 12 AliGhodsi Lec13 2017, SPCA, Naive Bayes, K-nearest neighbour
- 13 AliGhodsi Lec14, Convolutional Neural Networks
- 14 AliGhodsi Lec15, Random features, Tree
- 15 AliGhodsi Lec 18, Bagging
