Department of Computer Science

COS 711 Machine Learning (15 credits)

Main Content:

  • An understanding of key concepts and theories in machine learning;
  • Ability to develop and implement key machine learning algorithms including decision tree learning, Bayesian learning, back-propagation neural networks, and genetic algorithms

Main Outcomes:
At the successful completion of this course the student should have:

  • Concept Learning,
  • Decision Tree Learning,
  • Artificial Neural Networks,
  • Bayesian Learning,
  • Instance-Based Learning,
  • Evolutionary Computation,
  • Computational Learning Theory

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Zenzeleni - Mozilla Equal Rating
10 Mar 2017 13:18

Zenzeleni has a chance to win Mozilla Foundation’s Equal Rating Innovation Challenge!   Part  [ ... ]