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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