INSY 674 Enterprise Data Science: Concepts and Algorithms

1.5 credits · Management · Graduate Studies · Offered: Fall

Practical knowledge of issues involving learning with large datasets. Topic include: data governance and management at scale; principles of feature engineering, parallel and distributed computing for machine learning; techniques for scalable supervised and unsupervised learning; analysis of programs…

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 1" The online version of the course includes synchronous and/or asynchronous course activities

Plan your whole degree in myDegree. Fit INSY 674 and everything it needs into a plan, term by term. Open myDegree

Source: McGill Course Catalogue. myDegree is an independent student project, not affiliated with McGill University.