33:241.1 Machine Learning
A 33-minute video from Bert Huang: “1.1 Machine Learning”.
Bert Huang
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33:24
34:4710 Dual SVM and Kernels
A 35-minute video from Bert Huang: “10 Dual SVM and Kernels”.
23:3211 Feature Maps and Kernels
A 24-minute video from Bert Huang: “11 Feature Maps and Kernels”.
17:4812 SMO and Stochastic SVM
A 18-minute video from Bert Huang: “12 SMO and Stochastic SVM”.
22:1913 Regression
A 22-minute video from Bert Huang: “13 Regression”.
33:4814 Principal Component Analysis
A 34-minute video from Bert Huang: “14 Principal Component Analysis”.
26:5615 Clustering and Mixture Models
A 27-minute video from Bert Huang: “15 Clustering and Mixture Models”.
6:0015.1 GMM Degeneracy
A 6-minute video from Bert Huang: “15.1 GMM Degeneracy”.
22:0016 Variational EM and K Means
A 22-minute video from Bert Huang: “16 Variational EM and K Means”.
30:0317 Probabilistic Graphical Models and Bayesian Networks
A 30-minute video from Bert Huang: “17 Probabilistic Graphical Models and Bayesian Networks”.
46:302 Probability and Naive Bayes
A 46-minute video from Bert Huang: “2 Probability and Naive Bayes”.
33:013 Decision Trees
A 33-minute video from Bert Huang: “3 Decision Trees”.
40:174 Logistic Regression
A 40-minute video from Bert Huang: “4 Logistic Regression”.
29:475 Perceptron
A 30-minute video from Bert Huang: “5 Perceptron”.
25:417 Learning Objective Functions
A 26-minute video from Bert Huang: “7 Learning Objective Functions”.
28:559 Support Vector Machines
A 29-minute video from Bert Huang: “9 Support Vector Machines”.
12:46A* Optimality
A 13-minute video from Bert Huang: “A* Optimality”.
22:17Belief Propagation
A 22-minute video from Bert Huang: “Belief Propagation”.
44:39Fairness in Machine Learning
A 45-minute video from Bert Huang: “Fairness in Machine Learning”.
20:25First Order Logic Overview
A 20-minute video from Bert Huang: “First Order Logic Overview”.
10:03Graphical Models Wrap up
A 10-minute video from Bert Huang: “Graphical Models Wrap up”.
30:18Hidden Markov Models
A 30-minute video from Bert Huang: “Hidden Markov Models”.
18:32Markov Models
A 19-minute video from Bert Huang: “Markov Models”.
21:20Model Complexity and VC Dimension
A 21-minute video from Bert Huang: “Model Complexity and VC Dimension”.
23:15Model Selection in Machine Learning
A 23-minute video from Bert Huang: “Model Selection in Machine Learning”.
15:10Neural Networks
A 15-minute video from Bert Huang: “Neural Networks”.
16:34Particle Filters
A 17-minute video from Bert Huang: “Particle Filters”.
22:49Passive Reinforcement Learning
A 23-minute video from Bert Huang: “Passive Reinforcement Learning”.
10:07
26:11Pruning (Alpha-Beta)
A 26-minute video from Bert Huang: “Pruning (Alpha-Beta)”.
21:17Types of Machine Learning
A 21-minute video from Bert Huang: “Types of Machine Learning”.
18:27Undirected Graphical Models
A 18-minute video from Bert Huang: “Undirected Graphical Models”.
14:19What is Learning Theory?
A 14-minute video from Bert Huang: “What is Learning Theory?”.