Machine learning is an interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and so on. The purpose of this study is to study how computers simulate or realize human learning behaviors in order to acquire new knowledge or skills and reorganize the existing knowledge structure to improve its performance. It is the core of artificial intelligence and the fundamental way to make computers intelligent.

Filename	Size	Update
机器学习数学基础速查手册\Quick Reference of Linear Algebra.pdf	273114	2019-09-25
机器学习数学基础速查手册\Quick Reference of Probability.pdf	184907	2019-09-25
机器学习数学基础速查手册	0	2019-09-29

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