Computer Science 589 - Machine Learning
Spring
2019
02
3.00
Justin Domke
M W 2:30PM 3:45PM
UMass Amherst
12911
Goessmann Lab. Add rm 64
domke@cs.umass.edu
12910
Introduction to core machine learning models and algorithms for classification, regression, dimensionality reduction and clustering with a focus on real-world applications in a variety of computing contexts (desktop/cluster/cloud). Requires the use of Python.
Open to Graduate students only. LECT 01 FOR UNDERGRADS; LECT 02/03 FOR GRADS. STUDENTS MAY REQUEST TO TAKE MATH 235 LINEAR ALGEBRA AS A CO-REQUISITE WITH INSTRUCTOR PERMISSION. SEATS HELD FOR INCOMING GRAD STUDENT REGISTRATION. GRADUATE STUDENTS IN ECE, MATH, STATS IF AVAILABLE SEATS. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/overrides.