Description

This course will introduce students to the probabilistic and statistical models at the heart of modern artificial intelligence. Specific topics to be covered include: probabilistic methods for reasoning and decision-making under uncertainty; inference and learning in Bayesian networks; prediction and planning in Markov decision processes; applications to intelligent systems, speech and natural language processing, information retrieval, and robotics.

General Information

Announcements

Announcements are not public for this course.
Staff Office Hours
NameOffice Hours
Justin Liu
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Ruiqing Qiu
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Zhen Zhai
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William Fedus
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Soham Shah
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Max Shen
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Mohit Kothari
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Huaipeng Zhang
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Hannah Chen
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Kristján Jónsson
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Lawrence Saul
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