Machine Learning (Fall 2015 at Carnegie Mellon U)

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source: Alex Smola / Fish Tung /               2015年9月21日
Introduction to Machine Learning 10-715 CMU 2015
http://www.cs.cmu.edu/~bapoczos/Class...

Supervised Learning (1b) 36:34
Perceptron (2) - Machine Learning 10-715 Fall 2015 46:13
Deep Learning (3)  1:17:07
Deep Learning (4) 1:07:27
Clustering (5) 1:17:04
Clustering (6) 1:09:36
EM, PCA (7) 1:16:46
Principal Component Analysis (7b) 27:09
Unconstrained Optimization (8) 22:05
Optimization and Support Vector Machines (9)  1:29:03
Gaussian Process(11) 1:14:12
Latent Space Model, ICA(12) 1:14:39
ICA, Manifold Learning(13) 1:18:55
Directed Graphical Models (14)  1:19:08
Message Passing and Inference (15) 1:17:45
Hidden Markov Models (16) 1:14:37
Conditional Random Fields and Exponential Families (17) 1:26:22
Learning Theory (18) 1:17:11
Bayes Classifier (19) 1:19:13
VC dimension, Manifold Learning (20) 1:15:57
Big data and scalability (21) 1:17:46
Final Presentation 1 (22) 1:09:53
[私人影片]
Advanced Machine Learning with scikit-learn 2:36:42
Theano Tutorial (Pascal Lamblin, MILA) 1:03:26