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Course Title:Introduction to Machine Learning
Class Info.:
Class Section:CS4375.001.13S Activity Type:Lecture
Class Level:Undergraduate Class Number:26179
Class Credits:3 Credits Inst. Mode:Face-to-Face
Grading:Graded - Undergraduate Session Type:Regular Academic Session (1)
Status:Section Status: OPEN    Available Seats: 35    Enrolled Total: 25   
Description:
CS 4375 - Introduction to Machine Learning (3 semester hours) Algorithms for creating computer programs that can improve their performance through learning. Topics include: cross-validation, decision trees, neural nets, statistical tests, Bayesian learning, computational learning theory, instance-based learning, reinforcement learning, bagging, boosting, support vector machines, Hidden Markov Models, clustering, and semi-supervised and unsupervised learning techniques. Prerequisites: CS/SE 3341 and CE/CS/SE/TE 3345 or equivalent. (3-0) Y
Instructor(s):
Haim Schweitzer      email: haim@utdallas.edu
Schedule:

Class Location and Times

Location: UT Dallas - Main Campus

Friday:  1:00pm-3:45pm   ECSS 2.311

Term: Spring 2013
Session Type: Regular Academic Session (1)
Starts: January 14, 2013
Ends: May 13, 2013

ECSS Building - Floor 2 - Room 2.311
Exams:Date: May 10, 2013   Time: 2:00pm-4:45pm   Location: GR 2.530
College:Erik Jonsson School of Engineering and Computer Science
Syllabus:Syllabus for Introduction to Machine Learning (cs4375.001.13s) taught by Haim Schweitzer.
Class Evaluation:A class evaluation for Introduction to Machine Learning (cs4375.001.13s) taught by Haim Schweitzer hasn't been posted.
The direct link to this class is: http://go.utdallas.edu/cs4375.001.13s
Register for this class on Orion: http://orion.utdallas.edu