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Machine Learning and Pattern Recognition

ECE 435

1232
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The course is an introduction to the theoretical foundations of machine learning. A variety of classical and recent results in machine learning and statistical analysis are discussed, including: Bayesian classification, regression, regularization, sparse regression, support vector machines, kernels, neural networks and gradient descent.
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Section L01

  • Type: Lecture
  • Section: L01
  • Status: O
  • Enrollment: 19
  • Capacity: 35
  • Class Number: 21563
  • Schedule: MWF 10:00 AM-10:50 AM