MISY 331 - Machine Learning for Business

Credit(s): 3

MACHINE LEARNING FOR BUSINESS
Component: Lecture
Data is a critical type of business capital, and data mining is essential to unleash the value of data for business analytics. Students will learn state-of-the-art data mining methods and theories. We will also discuss the applications of data mining methods to solve real-world business problems in a wide range of areas such as marketing, finance, and healthcare.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: MISY 225 or CISC 108.

Course Typically Offered: Spring

General Education Objectives:
GE1A: Read Critically GE1B: Analyze Arguments and Information GE1C: Engage in Constructive Ideation GE3B: Work Independently Across Cultures GE4: Critically Evaluate Ethical Implications GE5A: Reason Quantitatively GE5B: Reason Computationally