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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


  • Intermediate Python Programming
  • (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