Intro To Machine Learning Apps

MGMT-4190

The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data, enabling organizations to use analytics and experimentation in both strategy and operations. This course provides a hands-on introduction to the concepts, methods, and processes for machine learning from data, the foundation of artificial intelligence. Students will learn how to manipulate data and apply machine learning models to business context. Students will learn how to obtain data and draw business inferences from data by asking the right questions and using the appropriate tools.

4 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Intro To Machine Learning Apps (4c)
  • Lydia Manikonda
Seats Taken: 15/45
Intro To Machine Learning Apps (4c)
  • Lydia Manikonda
Seats Taken: 24/100
2023
Intro To Machine Learning Apps (4c)
  • Minor E. Gordon
Seats Taken: 7/15
Intro To Machine Learning Apps (4c)
  • Lydia Manikonda
Seats Taken: 25/35
2022
Intro To Machine Learning Apps (4c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 30/35
2021
Intro To Machine Learning Apps (4c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 28/35
2020
Intro To Machine Learning Apps (4c)
  • Thomas Richard Morgan
  • Jason Nicholas Kuruzovich
Seats Taken: 12/30
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