INSY 674 — Enterprise Data Science: Concepts and Algorithms

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 in terms of memory, computation, and (for parallel methods) communication complexity; and methods for low-latency inference.

• Credits: 1.5
• Faculty: Graduate Studies
• Department: Management
• Prerequisites: (INSY 660 or INSY 662) and (MGSC 660 or MGSC 661) or permission of the instructor

Sections offered

• Section 075 (Lec), Fri 8:35-9:55 am — 11 seats open
• Section 076 (Lec), Fri 2:35-3:55 pm — 0 seats open