This course introduces learning techniques for machine learning including stochastic learning, ensamples, density analytics, descent methods, intelligence analysis, etc. Algorithmic design and implementation are introduced in the context of machine learning. This course will also cover the issues and applications of machine learning. Offered alternate years.
Term Offered
Spring Only