Supervised Machine Learning, Fall 2017

TF 9:50am - 11:30am, Forsyth 236

Instructor: Prof. Olga Vitek
Email: o.vitek@neu.edu
Office hours: WVH 310F, Tuesdays 11:30am-12:30am, or by appointment.
Phone: (617) 373-6305
Mailbox: WVH 202

Teaching assistants:
Mrs. Dan Guo, Email: guo.dan@husky.neu.edu, Office hours: 466B WVH, Fridays 2:00-3:00 pm.
Mr. Ahmet Salih Gundogdu, Email: gundogdu.a@husky.neu.edu, Office hours: 462 WVH, Tuesdays 3:00-4:00 pm.

Course policies and administration:
Syllabus. Piazza, Blackboard.
Academic integrity policy is strictly enforced.

Required texts:

(JWHT) An Introduction to Statistical Learning. G. James, D. Witten, T. Hastie, R. Tibshirani, Springer 2013.
(HTF) Elements of Statistical Learning. T. Hastie, R. Tibshirani and J. Friedman, Springer, 2009.

Optional texts:

(Murphy) Machine Learning: A Probabilistic Perspective. Kevin P. Murphy, MIT Press 2012.
(Duda) Pattern Classification, 2nd Edition. R. O. Duda, P. E. Hart, D. Stork, Wiley and Sons, 2001.
(Bishop) Pattern Recognition and Machine Learning. C. M. Bishop, Springer 2006.
(Mitchell) Machine Learning. T. Mitchell, McGraw-Hill, 1997.