# 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
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| Spring | Summer | Fall
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| (Session 1) | (Session 2) |
2025 | Intro To Machine Learning Apps (4c) Lydia Manikonda Seats Taken: 0/45 |  |
2024 | Intro To Machine Learning Apps (4c) Lydia Manikonda Seats Taken: 15/45 |  | Intro To Machine Learning Apps (4c) Lydia Manikonda Seats Taken: 26/100
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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