CPS 271: Numeric Artificial Intelligence (Machine Learning)
Fall 2005

Course Info

• Although titled "Numeric Artificial Intelligence", this course is an introduction to machine learning. It is a qual course.
• Meeting Times: Tuesday & Thursday, 4:25 - 5:40, LSRC D106
• Instructor: Ron Parr - parr at cs dot duke dot edu, D209 LSRC, 660-6537
  Office Hours: Wednesday, 10:00 - 11:00, 3:00-4:00
  
• TA: Monika Schaeffer- monika at cs dot duke dot edu, D125 LSRC, 660-6576
  Office Hours: Wednesday, 1:30 - 2:30, and by appointment
• Optional Texts:
  Introduction to Computational Learning Theory, Michael Kearns & Umesh Vazirani, MIT Press
  Neural Networks for Pattern Recognition, Christopher M. Bishop, Oxford Press
  Machine Learning, Tom Mitchell, McGraw-Hill
  The Elements of Statistical Learning, Trevor Hastie, Robert Tibshirani, and Jerome Friedman, Springer Verlag
• Final Exam: (Check with the Registrar) official exam schedule.
• Midterm: TBD

Grading

• homework: 10%
  
• midterm: 30%
• project: 30%
• final: 30%