Supervised Machine Learning, Spring 2019

TF 9:50am - 11:30am, West Village H 108

Instructor: Prof. Olga Vitek
Email: o.vitek@neu.edu
Office hours: After each class, or by appointment.
Phone: (617) 373-6305
Mailbox: WVH 202

Teaching assistants:
Mr. Tyler Tuan, Email: nguyen.tua@husky.neu.edu, Office hours: Mondays 4-5pm, 132H Nightingale Hall
Mr. Nalin Gupta, Email: gupta.nal@husky.neu.edu, Office hours: Thursdays 3-4pm, 304 Kariotis Hall .

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

Required texts:

(JW) An Introduction to Statistical Learning. G. James, D. Witten, T. Hastie, R. Tibshirani, Springer 2013.
(HT) Elements of Statistical Learning. T. Hastie, R. Tibshirani and J. Friedman, Springer, 2009.
(CB) Pattern Recognition and Machine Learning. C. M. Bishop, Springer 2006.

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.
(Mitchell) Machine Learning. T. Mitchell, McGraw-Hill, 1997.