CS 6780: Advanced Topics in Machine Learning

Cross-Listing: Not cross-listed.

This course extends and complements COM S 478 and COM S 578, giving in-depth coverage of new and advanced methods in machine learning. In particular, we will connect to open research questions in machine learning, giving starting points for future work. The content of the course will reflect an equal balance between learning theory and practical machine learning, making an emphasis on approaches with practical relevance. Topics include support vector machines, clustering, Bayes nets, boosting, model selection, learning orderings, and inductive transfer.

Offered: Spring only

Prerequisites: CS 4780 or equivalent, or CS 5780 or equivalent, or permission of instructor.

Grade options: Letter or S/U

Credit hours: 4

Recent offerings:

• http://www.cs.cornell.edu/courses/cs678/2008sp
  • Thorsten Joachims
  • Richard Caruana
• http://www.cs.cornell.edu/courses/cs678/2007sp
  • Richard Caruana
• http://www.cs.cornell.edu/courses/cs678/2006sp
  • Richard Caruana