Machine Learning and Pattern Recognition
ECE 435
1222
1222
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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, included: 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: 16
- Capacity: 35
- Class Number: 21709
- Schedule: MWF 10:00 AM-10:50 AM - Friend Center 101