Index of /videos/courses/ml-004

	Name	Last modified	Size	Description
	Parent Directory		-
	idx.html	2013-12-24 17:57	44K
	lectures.html	2013-12-24 17:58	248K
	ml-004-about.json	2013-12-24 17:58	19K
	01 - I. Introduction (Week 1)/	2013-12-24 17:58	-
	02 - II. Linear Regression with One Variable (Week 1)/	2013-12-24 17:59	-
	03 - III. Linear Algebra Review (Week 1, Optional)/	2013-12-24 18:00	-
	04 - IV. Linear Regression with Multiple Variables (Week 2)/	2013-12-24 18:01	-
	05 - V. Octave Tutorial (Week 2)/	2013-12-24 18:01	-
	06 - VI. Logistic Regression (Week 3)/	2013-12-24 18:02	-
	07 - VII. Regularization (Week 3)/	2013-12-24 18:03	-
	08 - VIII. Neural Networks Representation (Week 4)/	2013-12-24 18:04	-
	09 - IX. Neural Networks Learning (Week 5)/	2013-12-24 18:05	-
	10 - X. Advice for Applying Machine Learning (Week 6)/	2013-12-24 18:06	-
	11 - XI. Machine Learning System Design (Week 6)/	2013-12-24 18:06	-
	12 - XII. Support Vector Machines (Week 7)/	2013-12-24 18:07	-
	13 - XIII. Clustering (Week 8)/	2013-12-24 18:08	-
	14 - XIV. Dimensionality Reduction (Week 8)/	2013-12-24 18:08	-
	15 - XV. Anomaly Detection (Week 9)/	2013-12-24 18:09	-
	16 - XVI. Recommender Systems (Week 9)/	2013-12-24 18:10	-
	17 - XVII. Large Scale Machine Learning (Week 10)/	2013-12-24 18:11	-
	18 - XVIII. Application Example Photo OCR/	2013-12-24 18:12	-
	19 - XIX. Conclusion/	2013-12-24 18:12	-