CSE-847

CSE-847
  • MACHINE LEARNING

About the Course

  • Computational study of learning and data mining. Strengths and limitations of various learning paradigms, including supervised learning, learning from scalar reward, unsupervised learning, and learning with domain knowledge.
  • Spring (every year) Credits: 3
  • Elective: PhD Biostatistics

Prerequisite

  • CSE 841