1.1 Linear SVM - Course Introduction
https://www.bilibili.com/video/av12469267/#page=1
1.2 Linear SVM - Large-Margin Separating Hyperplane
https://www.bilibili.com/video/av12469267/#page=2
1.3 Linear SVM - Standard Large-Margin Problem
https://www.bilibili.com/video/av12469267/#page=3
1.4 Linear SVM - Support Vector Machine
https://www.bilibili.com/video/av12469267/#page=4
1.5 Linear SVM - Reasons behind Large-Margin Hyperplane
https://www.bilibili.com/video/av12469267/#page=5
2.1 Dual Support Vector Machine - Motivation of Dual SVM
https://www.bilibili.com/video/av12469267/#page=6
2.2 Dual Support Vector Machine - Largange Dual SVM
https://www.bilibili.com/video/av12469267/#page=7
2.3 Dual Support Vector Machine - Solving Dual SVM
https://www.bilibili.com/video/av12469267/#page=8
2.4 Dual Support Vector Machine - Messages behind Dual SVM
https://www.bilibili.com/video/av12469267/#page=9
3.1 Kernel Support Vector Machine - Kernel Trick
https://www.bilibili.com/video/av12469267/#page=10
3.2 Kernel Support Vector Machine - Polynomial Kernel
https://www.bilibili.com/video/av12469267/#page=11
3.3 Kernel Support Vector Machine - Gaussian Kernel
https://www.bilibili.com/video/av12469267/#page=12
3.4 Kernel Support Vector Machine - Comparison of Kernels
https://www.bilibili.com/video/av12469267/#page=13
4.1 Soft-Margin Support Vector Machine - Motivation and Primal
https://www.bilibili.com/video/av12469267/#page=14
4.2 Soft-Margin Support Vector Machine - Dual Problem
https://www.bilibili.com/video/av12469267/#page=15
4.3 Soft-Margin Support Vector Machine - Messages
https://www.bilibili.com/video/av12469267/#page=16
4.4 Soft-Margin Support Vector Machine - Model Selection
https://www.bilibili.com/video/av12469267/#page=17
5.1 Kernel Logistic Regression - Soft-Margin SVM as Regularized
https://www.bilibili.com/video/av12469267/#page=18
5.2 Kernel Logistic Regression - SVM versus Logistic Regression
https://www.bilibili.com/video/av12469267/#page=19
5.3 Kernel Logistic Regression - SVM for Soft Binary
https://www.bilibili.com/video/av12469267/#page=20
5.4 Kernel Logistic Regression - Kernel Logistic Regression
https://www.bilibili.com/video/av12469267/#page=21
6.1 Support Vector Regression - Kernel Ridge Regression
https://www.bilibili.com/video/av12469267/#page=22
6.2 Support Vector Regression - Support Vector Regression Primal
https://www.bilibili.com/video/av12469267/#page=23
6.3 Support Vector Regression - Support Vector Regression Dual
https://www.bilibili.com/video/av12469267/#page=24
6.4 Support Vector Regression - Summary of Kernel Models
https://www.bilibili.com/video/av12469267/#page=25
7.1 Blending and Bagging - Motivation of Aggregation
https://www.bilibili.com/video/av12469267/#page=26
7.2 Blending and Bagging - Uniform Blending
https://www.bilibili.com/video/av12469267/#page=27
7.3 Blending and Bagging - Linear and Any Blending
https://www.bilibili.com/video/av12469267/#page=28
7.4 Blending and Bagging - Bagging (Bootstrap Aggregation)
https://www.bilibili.com/video/av12469267/#page=29
8.1 Adaptive Boosting - Motivation of Boosting
https://www.bilibili.com/video/av12469267/#page=30
8.2 Adaptive Boosting - Diversity by Re-weighting
https://www.bilibili.com/video/av12469267/#page=31
8.3 Adaptive Boosting - Adaptive Boosting Algorithm
https://www.bilibili.com/video/av12469267/#page=32
8.4 Adaptive Boosting - Adaptive Boosting in Action
https://www.bilibili.com/video/av12469267/#page=33
9.1 Decision Tree - Decision Tree Hypothesis
https://www.bilibili.com/video/av12469267/#page=34
9.2 Decision Tree - Decision Tree Algorithm
https://www.bilibili.com/video/av12469267/#page=35
9.3 Decision Tree - Decision Tree Heuristics in C&RT
https://www.bilibili.com/video/av12469267/#page=36
9.4 Decision Tree - Decision Tree in Action
https://www.bilibili.com/video/av12469267/#page=37
10.1 Random Forest - Random Forest Algorithm
https://www.bilibili.com/video/av12469267/#page=38
10.2 Random Forest - Out-of-bag Estimate
https://www.bilibili.com/video/av12469267/#page=39
10.3 Random Forest - Feature Selection
https://www.bilibili.com/video/av12469267/#page=40
10.4 Random Forest - Random Forest in Action
https://www.bilibili.com/video/av12469267/#page=41
11.1 Gradient Boosted Decision Tree - AdaBoost Decision Tree
https://www.bilibili.com/video/av12469267/#page=42
11.2 Gradient Boosted Decision Tree - Optimization of AdaBoost
https://www.bilibili.com/video/av12469267/#page=43
11.3 Gradient Boosted Decision Tree - Gradient Boosting
https://www.bilibili.com/video/av12469267/#page=44
11.4 Gradient Boosted Decision Tree - Summary of Aggregation
https://www.bilibili.com/video/av12469267/#page=45
12.1 Neural Network - Motivation
https://www.bilibili.com/video/av12469267/#page=46
12.2 Neural Network - Neural Network Hypothesis
https://www.bilibili.com/video/av12469267/#page=47
12.3 Neural Network - Neural Network Learning
https://www.bilibili.com/video/av12469267/#page=48
12.4 Neural Network - Optimization and Regularization
https://www.bilibili.com/video/av12469267/#page=49
13.1 Deep Learning - Deep Neural Network
https://www.bilibili.com/video/av12469267/#page=50
13.2 Deep Learning -Autoencoder
https://www.bilibili.com/video/av12469267/#page=51
13.3 Deep Learning -Denoising Autoencoder
https://www.bilibili.com/video/av12469267/#page=52
13.4 Deep Learning - Principal Component Analysis
https://www.bilibili.com/video/av12469267/#page=53
14.1 Radial Basis Function Network - RBF Network Hypothesis
https://www.bilibili.com/video/av12469267/#page=54
14.2 Radial Basis Function Network - RBF Network Learning
https://www.bilibili.com/video/av12469267/#page=55
14.3 Radial Basis Function Network - k-Means Algorithm
https://www.bilibili.com/video/av12469267/#page=56
14.4 Radial Basis Function Network - k-Means and RBFNet in Action
https://www.bilibili.com/video/av12469267/#page=57
15.1 Matrix Factorization - Linear Network Hypothesis
https://www.bilibili.com/video/av12469267/#page=58
15.2 Matrix Factorization - Basic Matrix Factorization
https://www.bilibili.com/video/av12469267/#page=59
15.3 Matrix Factorization - Stochastic Gradient Descent
https://www.bilibili.com/video/av12469267/#page=60
15.4 Matrix Factorization - Summary of Extraction Models
https://www.bilibili.com/video/av12469267/#page=61
16.1 Finale - Feature Exploitation Techniques
https://www.bilibili.com/video/av12469267/#page=62
16.2 Finale - Error Optimization Techniques
https://www.bilibili.com/video/av12469267/#page=63
16.3 Finale - Overfitting Elimination Techniques
https://www.bilibili.com/video/av12469267/#page=64
16.4 Finale - Machine Learning in Practice
https://www.bilibili.com/video/av12469267/#page=65