Machine Learning and Pattern Recognition
ECE 535
1222
1222
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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: 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: 31
- Capacity: 75
- Class Number: 22712
- Schedule: MWF 10:00 AM-10:50 AM - Friend Center 101