6.867 Machine Learning

Fall 2005

Lecture: Monday and Wednesday, 9:30-11:00am in 54-100

Recitation: Friday in 24-115

News

Course info

Instructor Professor Leslie Kaelbling (lpk at csail.mit.edu) Office Hours: email to make an appointment
Teaching Assistants Kenzie MacIsaac (macisaac at csail.mit.edu) Office Hours: Tuesdays 9:30am-11:30am Room 32-G540 (or the lounge outside G540)
John Barnett (barnett at csail.mit.edu) Mondays 3-5pm, 32-G496 (or lounge outside)
Luke Zettlemoyer (lsz at csail.mit.edu) Fridays 4-6pm, 32-G585 (or lounge near the elevators)
Staff mailing list 6867-staff@csail.mit.edu
Syllabus
Prerequisites 6.041, programming ability
Requirements
  • 4 problem sets (20%)
  • final project (30%)
  • midterm and final exams (50%)
Textbook The Elements of Statistical Learning: Data Mining, Inference and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman
Supplementary texts Neural Networks for Pattern Recognition
Christopher M. Bishop
Pattern Classification
Richard O. Duda, Peter E. Hart, David G. Stork
All of Statistics
Larry Wasserman (good frequentist and review)
Information Theory, Inference, and Learning Algorithms Free Online!
David J. C. MacKay (good Bayes chapters)
Useful links