CS229T/STAT231: Statistical Learning Theory

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Machine learning has become an indispensible part of many application areas, in both science (biology, neuroscience, psychology, astronomy, etc.) and engineering (natural language processing, computer vision, robotics, etc.). But machine learning is not a single approach; rather, it consists of a dazzling array of seemingly disparate frameworks and paradigms spanning classication, regression, clustering, matrix factorization, Bayesian networks, Markov random elds, etc. This course aims to uncover the common statistical principles underlying this diverse array of techniques.


Statistical Learning Theory lecture notes.pdf (1.18 MB, 需要: 1 个论坛币)

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Machine learning has become an indispensible part of many application areas, in both science (biolog ...
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关键词：Statistical statistica statistic Learning earning computer learning biology machine course