机器学习相关资料分享——《A Course in Machine Learning》

《A Course in Machine Learning》by Hal Daumé III

CIML is a set of introductory materials that covers most major aspects
of modern machine learning (supervised learning, unsupervised
learning, large margin methods, probabilistic modeling, learning
theory, etc.). It’s focus is on broad applications with a rigorous
backbone. A subset can be used for an undergraduate course; a graduate
course could probably cover the entire material and then some.

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