Machine Learning course

Course page: https://www.coursera.org/learn/machine-learning
By Andrew Ng (ang at cs.stanford.edu)

Software created by the team: http://www.ros.org/

1. Introduction
2. Linear Regression with One Variable
3. Linear Algebra review
4. Linear Regression with Multiple Variables
5. Octave tutorial
6. Logistic Regression
7. Regularization
8. Neural Networks: Representation
9. Neural Networks: Learning
10. Advice for Applying Machine Learning
11. Machine Learning System Design
12. Support Vector Machines
13. Clustering
14. Dimensionality Reduction
15. Anomaly detection
16. Recommender Systems
17. Large Scale Machine Learning
18. Application Example: Photo OCR