Introduction to Machine Learning

Introduces the principles, algorithms and application of machine learning from the point of modeling and prediction; learning problem representation.

This course will cover concepts such as representation, over-fitting, regularization, and generalization; topics such as clustering, classification, regression, recommendation problems, probabilistic modeling, reinforcement learning, and various on-line algorithms. It will also introduce a support vector machine and deep learning.