Supervised Machine Learning, Fall 2018

TF 9:50am - 11:30am, Ell Hall 312

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:
Mr. Tyler Tuan, Email: nguyen.tua@husky.neu.edu, Office hours: Wednesday 3pm, WVH310C
Mr. Kaushal Paneri, Email: paneri.k@husky.neu.edu, Office hours: Mondays 4pm, Nightingale Hall 132I.

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.