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Learning from experience is one of the hallmarks of intelligence. Machine learning is the study of computer algorithms that improve automatically through experience. Machine learning, a subfield of artificial intelligence (AI), has achieved remarkable progress over the past decade, especially in deep learning. This course introduces fundamental concepts and algorithms that are vital for understanding state-of-the-art and cutting-edge development toward the next wave of AI. This course also exposes students to real-world applications via well-guided homework programming problems, as well as group projects. Topics include, but are not limited to optimization, linear statistical models, kernel regression, support vector machines, boosting machines, and deep neural networks.

P: (·¡°ä·¡Ìý301 or ±õ³§·¡Ìý361 or ²Ñ´¡Ìý341 or °ä³§°äÌý316) and (³§°ÕÌý370 or ³§°ÕÌý371) R: Students may not receive credit for both °ä³§°äÌý422 and ·¡°ä·¡Ìý411.

Typically offered in Fall only