Coursera: Machine Learning

Programming Assignments of Coursera online course: Machine Learning.

https://www.coursera.org/course/ml

Instructor: Andrew Ng, Stanford University

Syllabus

1. Introduction (Week 1)
2. Linear Regression with One Variable (Week 1)
3. Linear Algebra Review (Week 1, Optional)
4. Linear Regression with Multiple Variables (Week 2)
5. Octave Tutorial (Week 2)
6. Logistic Regression (Week 3)
7. Regularization (Week 3)
8. Neural Networks: Representation (Week 4)
9. Neural Networks: Learning (Week 5)
10. Advice for Applying Machine Learning (Week 6)
11. Machine Learning System Design (Week 6)
12. Support Vector Machines (Week 7)
13. Clustering (Week 8)
14. Dimensionality Reduction (Week 8)
15. Anomaly Detection (Week 9)
16. Recommender Systems (Week 9)
17. Large Scale Machine Learning (Week 10)
18. Large Scale Machine Learning (Week 10)
19. Conclusion

© Marcos Gestal. October, 2013 All Rights reserved.

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.