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CPSC-55000 Machine Learning

Credits: 
3
Prerequisites: 
(CPSC-50200 or MATH-51000) and (CPSC-50100, or CPSC-51100, or prior programming experience)

Algorithms for enabling artificial systems to learn from experience; supervised and unsupervised learning; clustering, reinforcement learning control. Students will write programs that demonstrate machine-learning techniques.

Learning Objectives:

  1. Explain various techniques by which machines can learn from data and experience.
  2. Employ machine learning techniques to solving problems involving large data sets.
  3. Present results of applying machine learning to big data problems in oral and written form.

YOUR OPPORTUNITY: Data analysis software must dig through data with little guidance, which requires techniques for detecting and learning from cues automatically. You will learn how to code such systems.

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