Course Catalog

GRAD > CS > 671

Machine Learning

Description:
Machine Learning is a foundational discipline for data mining and artificial intelligence which explores the limits and capacities of automated learning of abstract concepts. The course will focus on the probably approximately correct (PAC) learning model and will cover topics like the Vapnik-Chervonenkis dimension, the weak and strong learning paradigms, inherent unpredictability, reducibility in PAC learning, and learning finite automata.

Offered in:

2017 Fall

Section Class Number Schedule/Time Instructor Location
01 7742 MW
16:00 - 17:15
Simovici,Dan W01-0058
Session: Regular
Class Dates: 09/05/2017
Capacity: 35
Enrolled: 10
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites:
Course Attributes: