CISC 484 - Introduction to Machine Learning

Credit(s): 3

MACHINE LEARNING
Component: Lecture
Development of methods to learn to solve a task using examples. Explore different machine learning algorithms/techniques and discuss their strengths and weaknesses and situations they are or are not suited for.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: CISC 220, and MATH 205 or MATH 350. RESTRICTIONS: Students who received credit in CISC684 are not eligible to take this course without permission.

Course Typically Offered: Fall and Spring

General Education Objectives:
GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically