Spring 2014: Machine Learning

General Information

Time: Tuesdays & Thursdays 3:20-4:40 PM Place: CBIM 22 [NEW LOCATION]
Instructor: Tina Eliassi-Rad Office hours: Thursdays 5:00-6:00 PM in CBIM 08
TA: Chetan Tonde TA office hours: Wednesdays 3:00-4:00 PM in CBIM (cubicle near printer room)
Also, available by appointment. Email cjtonde [at] cs [dot] rutgers [dot] edu to setup appointment.
Course number: 16:198:536 Credits: 3


This graduate-level course introduces the theory, algorithms, and applications of machine learning. Topics covered include supervised learning, unsupervised learning, semi-supervised learning, learning theory, and reinforcement learning.

Prerequisites: Calculus and linear algebra. An introductory course on statistics and probability. Algorithms and programming (MATLAB).




Notes, Policies, and Guidelines

Schedule / Syllabus (Subject to Change)

Other Topics of Interest