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ANA665 Data Mining & Machine Learning

Lead Faculty: Dr Jodi Reeves

Course Description

This advanced data mining course focuses on various machine learning and artificial intelligence techniques. Topics include data mining methods ranging from classification rules, association rules, and instance-based learning to semi-supervised learning and multi-instance learning.

Learning Outcomes

  • Assess input, output, and algorithms involved in data mining.
  • Evaluate the quality of what has been learned after a data mining session.
  • Analyze and synthesize different machine learning schemes for data mining.
  • Perform ensemble learning in an analytic application.