IS 355
Machine Learning 2 for Non-Majors
Information Systems
Marriott School of Business
Course Description
Machine learning techniques in Python for predicting numeric and categorical outcomes, clustering and segmentation, and pipelining for data products.
When Taught
Fall and Winter
Grade Rule
Standard Grade Rule: A B C D E I
Min
3
Fixed
3
Fixed
3
Fixed
0
Other Prerequisites
IS 315 and other introductory programming course by approval; e.g. CS 142
Title
Methods
Learning Outcome
<p>Students will be able to build machine learning models of all types based on appropriate assumptions and methods</p>
Title
Critical Thinking
Learning Outcome
<p>Students will be able to interpret model results and make statistical inferences and predictions</p>
Title
Comparison
Learning Outcome
<p>Students will be able to compare and dynamically select the best algorithms and features</p>
