Index of /videos/courses/ml-2012-002

[ICO]NameLast modifiedSizeDescription
[PARENTDIR]Parent Directory  -  
[DIR]01 - I. Introduction (Week 1)/2013-12-24 17:43 -  
[DIR]02 - II. Linear Regression with One Variable (Week 1)/2013-12-24 17:43 -  
[DIR]03 - III. Linear Algebra Review (Week 1, Optional)/2013-12-24 17:44 -  
[DIR]04 - IV. Linear Regression with Multiple Variables (Week 2)/2013-12-24 17:45 -  
[DIR]05 - V. Octave Tutorial (Week 2)/2013-12-24 17:46 -  
[DIR]06 - VI. Logistic Regression (Week 3)/2013-12-24 17:47 -  
[DIR]07 - VII. Regularization (Week 3)/2013-12-24 17:47 -  
[DIR]08 - VIII. Neural Networks Representation (Week 4)/2013-12-24 17:48 -  
[DIR]09 - IX. Neural Networks Learning (Week 5)/2013-12-24 17:49 -  
[DIR]10 - X. Advice for Applying Machine Learning (Week 6)/2013-12-24 17:50 -  
[DIR]11 - XI. Machine Learning System Design (Week 6)/2013-12-24 17:51 -  
[DIR]12 - XII. Support Vector Machines (Week 7)/2013-12-24 17:52 -  
[DIR]13 - XIII. Clustering (Week 8)/2013-12-24 17:52 -  
[DIR]14 - XIV. Dimensionality Reduction (Week 8)/2013-12-24 17:53 -  
[DIR]15 - XV. Anomaly Detection (Week 9)/2013-12-24 17:54 -  
[DIR]16 - XVI. Recommender Systems (Week 9)/2013-12-24 17:55 -  
[DIR]17 - XVII. Large Scale Machine Learning (Week 10)/2013-12-24 17:56 -  
[DIR]18 - XVIII. Application Example Photo OCR/2013-12-24 17:57 -  
[DIR]19 - XIX. Conclusion/2013-12-24 17:57 -  
[TXT]idx.html2013-12-24 17:42 25K 
[TXT]lectures.html2013-12-24 17:42 218K 
[ ]ml-2012-002-about.json2013-12-24 17:42 19K