Machine Learning (COMP-652A)

Fall 2002


General Information

Where: Peterson Hall, Room 306.

When: Tuesdays and Thursdays, 11:30-1:00.

What: The goal of this class is to provide an overview of the state-of-art algorithms used in machine learning. The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience. In recent years, many successful applications of machine learning have been developed, ranging from data-mining programs that learn to detect fraudulent credit card transactions, to autonomous vehicles that learn to drive on public highways. At the same time, there have been important advances in the theory and algorithms that form the foundation of this field. During this course, we will study both the theoretical properties of machine learning algorithms and their practical applications.


Doina Precup
School of Computer Science

Office: McConnell 326

Office Hours:

  • Tuesday and Thursday, 1:00-1:30pm.
  • Monday, 2:00-3:00pm.
  • Meetings at other times by appointment only

    Phone: 398-6443


    IMPORTANT: E-mail is the quickest way to reach me and get your questions answered.


    1. Textbook: Tom Mitchell, "Machine Learning", McGraw-Hill, 1997.
    2. Lecture notes and other relevant materials are available on this web page.
    3. Other reference materials will be distributed in class as needed.

    Doina PRECUP
    Last modified: Mon Dec 2 14:52:02 EST 2002