vanJker / stanford-machine-learning

Stanford University's Machine Learning by Andrew Ng

Coursera: Stanford University

Machine Learning

Self learning of Standford University's Machine Learning course in coursera.

Instructor: Andrew Ng
Coursera: Machine Learning

Branch
|__master   slides, notes and solutions
|__skeleton skeleton/starter code of assignments

Schedule

Week	Lecture	Programming Assignments
1	Lecture 1: Introduction
	Lecture 2: Linear Regression with One Variable
	Lecture 3: Linear Algebra Review
2	Lecture 4: Linear Regression with Multiple Variables
	Lecture 5: Octave/Matleb Tutorial	Linear Regression
3	Lecture 6: Logistic Regression
	Lecture 7: Regularization	Logistic Regression
4	Lecture 8: Neural Networks: Representation	Multi-class Classification and Neural Networks
5	Lecture 9: Neural Networks: Learning	Neural Network Learning
6	Lecture 10: Advice for Applying Machine Learning	Regularized Linear Regression and Bias/Variance
	Lecture 11: Machine Learning System Design
7	Lecture 12: Support Vector Machines	Support Vector Machines
8	Lecture 13: Unsupervised Learning
	Lecture 14: Dimensionality Reduction	K-Means Clustering and PCA
9	Lecture 15: Anomaly Detection
	Lecture 16: Recommender Systems	Anomaly Detection and Recommender Systems
10	Lecture 17: Large Scale Machine Learning
11	Lecture 18: Application Example: Photo OCR