2021-01-29 19:16:01
کلاس آموزشی
Classification دانشگاه
Waterloo Lecture 1 Machine Learning, Introduction
Lecture 2 Machine learning. classification, Linear and quadrtic discriminant analysis
Lecture 3 QDA, PCA
Lecture 4 PCA,FDA
Lecture 5 Logistic Regression
Lecture 6 Logistic Regression, Perceptron
Lecture 7 Backpropagation
Lecture 8 Radial basis function network
Lecture 9 Stein’s unbiased risk estimator (sure)
Lecture 10 Weight decay
Lecture 11 Hard margin SVM
Lecture 12 Soft margin SVM
Lecture 13 Dual PCA, Supervised PCA
Lecture 14 Supervised PCA, Decision tree
Lecture 15 Decision Tree, KNN
Lecture 16 Boosting
Lecture Lec 17 Bagging,Convolutional Networks (part 1)
Lecture 18 Convolutional neural network (Part 2)
Lecture 19 PAC Learning final
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