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##Stanford: Machine Learning Fall 2013##

Coursera Online Machine Learning

"By the time you finish this class, you'll know how to apply the most advanced machine learning algorithms to such problems as anti-spam, image recognition, clustering, building recommender systems, and many other problems. You'll also know how to select the right algorithm for the right job, as well as become expert at "debugging" and figuring out how to improve a learning algorithm's performance." - Andrew Ng

All of the problem sets for the Coursera Online course worked on in Fall 2013.

Linear Regression with Multiple Variables (Week 2)
Regularization (Week 3)
Neural Networks: Representation (Week 4)
Neural Networks: Learning (Week 5)
Advice for Applying Machine Learning (Week 6)
Support Vector Machines (Week 7)
Dimensionality Reduction (Week 8)
Recommender Systems (Week 9)

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