Instructor:
Harrison H. Zhou
Email:
huibin.zhou@yale.edu
TA: Peisi Yan
Email: peisi.yan@yale.edu
Class Time: Monday and Wednesday11:35-12:50PM in Room 107, 24 Hillhouse Ave (Statistics department building)
Course Description: Techniques for data mining and machine learning are covered from both a statistical and a computational perspective, including support vector machines, bagging, boosting, neural networks, and other nonlinear and nonparametric regression methods. The course will give the basic ideas and intuition behind these methods, a more formal understanding of how and why they work, and opportunities to experiment with machine learning algorithms and apply them to data.
Textbook:
The Element of Statistical Learning
by Hastie, Tibshirani and Friedman (online version available)
Syllabus