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Machine Learning and Pattern Recognition

ECE 435

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This 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: classification, regression, regularization, optimization, gradient descent, neural networks, convolutional networks, and reinforcement learning.
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Section L01

  • Type: Lecture
  • Section: L01
  • Status: C
  • Enrollment: 65
  • Capacity: 65
  • Class Number: 21462
  • Schedule: MWF 10:00 AM-10:50 AM