INSY 684 Enterprise Machine Learning in Production

1.5 credits · Management · Graduate Studies · Offered: Summer, Fall

Fundamental technologies and best practices required to implement sustainable, scalable and enterprise grade artificial intelligence (AI) data science, and machine learning (ML) products. Exploration of how enterprises use an agile approach to data science by leveraging best practices/tools that aut…

Prerequisites

(INSY 660 or INSY 662) and (MGSC 660 or MGSC 661) or permission of the instructor Minimum Grade or Test Scores : B-

Prerequisite courses: INSY 660, INSY 662, MGSC 660, MGSC 661

Restrictions

Not open to students who have taken INSY 695 when the topic was "Enterprise Data Science & Machine Learning in Production 2" The online version of the course includes synchronous and/or asynchronous course activities **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the second lecture day and withdrawal is the fourth lecture day.

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