This course is a follow-up to INET 4061: Machine Learning Essentials. It covers the tools required to apply and implement data science techniques such as mathematical programming libraries, cloud resources, and big data databases. It also gives an overview of advanced data science methodologies such as deep learning, reinforcement learning, recommendation systems, and linear programming. Previously offered as INET 4710.
prereq: INet 4061, MATH 1031 or 1051 or 1151 or 1271 or 1571H
Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2026 provided by the University in response to a public records request