Machine Learning Frameworks

ENGR-6221

Students develop predictive models that lead to the least likelihood of unintended variance and build natural language and recommendation engines for common applications such as enhancement engines. Students observe results and tune recommendation models to achieve more accurate predictions and recommendations.

3 credits

Prereqs:

ENGR-6220 Data Architecture

Past Term Data

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Offered as Cross-Listing Only

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	Spring	Summer		Fall
		(Session 1)	(Session 2)
2023	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 4/25	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 1/25		Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 2/25
2022	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 2/25	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 4/25		Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 7/25
2021	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 4/25	Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 4/25		Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 3/25
2020		Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 3/25		Machine Learning Frameworks (3c) Rushabh S. Padalia Seats Taken: 1/25
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