University of Michigan School of Information
670 - Applied Machine Learning
Applied Machine Learning --- Students will learn how to correctly apply, interpret results, and iteratively refine and tune supervised and unsupervised machine learning models to solve a diverse set of problems on real-world datasets. Application is emphasized over theoretical content.
Credit Hours
3
Prerequisites
Advisory:
- Intermediate Python Programming
Enforced:
- (SI 507 or 507 waiver or 508) and (544 or 544 waiver) and (618 or 618 waiver); (C- or better) or Graduate standing in Applied Statistics, Master's in Data Science, or Electrical Engineering & Computer Science