Learning from Data: Concepts Theory and Methods

详细介绍请见http://www.amazon.com/Statistical-Learning-Theory-Vladimir-Vapnik/dp/0471030031。经典之作,就不多说了。

Frank Emmert-Streib, Matthias Dehmer. Springer, 2009.

Introduction to Statistical Learning Theory

Datastreamsareeverywherethesedays.Lookaroundandyouwillfindsourcesofinformationthatarecontinuouslyge

本书介绍了机器学习及其提供的算法范例。专为高级本科生或刚毕业的毕业生而设计，并且可供统计，计算机科学，数学和工程学的学生和非专业读者访问。

Beating the Perils of Non-Convexity: Machine Learning using Tensor Methods 解决非凸优化的思路

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基于新概念的测量误差理论解释,叶晓明,,在几篇已发表的论文中,作者提出了一种基于误差无类别哲学的测量理论新思维。基于这一新的概念思维,这篇论文从数学的角度重新完

This manual describes IBM Synchronous Data Link Control (SDLC). It includes a brief communications o

韩家炜 数据挖掘概念与技术英文原版Data Mining - Concepts and Techniques 数据挖掘最经典的，入门必看的书