Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce English | ISBN: 1491952962 | 2016 A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and books teach basic statistics, but rarely from a data science perspective. And while many data science resources incorporate statistical methods, they typically lack a deep statistical perspective. This quick reference book bridges that gap in an accessible, readable format.

美国高校计算机专业教材，关于工程理论和科学方法论的

英文版。比较全面的介绍了MATLAB的基础知识和杂工程和科研上的应用。是很不错的学习和入门材料

Handbook of Mathematics for Engineers and Scientists 工程科学数学手册

Essential MATLAB for Engineers and Scientists(6th) 英文epub 第6版 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书

Probability+and+Statistics+for+Computer+Scientists

Applied Numerical Methods with MATLAB for Engineers & Scientists, Chapra, MG, 2011. 很好的matlab学习教材，英文版的

Empirical Modeling and Data Analysis for Engineers and Applied Scientists English | 25 July 2016 | ISBN: 3319327674 | 264 Pages This textbook teaches advanced undergraduate and first-year graduate students in Engineering and Applied Sciences to gather and analyze empirical observations (data) in order to aid in making design decisions. While science is about discovery, the primary paradigm of engineering and “applied science” is design. Scientists are in the discovery business and want, in general, to understand the natural world rather than to alter it. In contrast, engineers and applied scientists design products, processes, and solutions to problems. That said, statistics, as a discipline, is mostly oriented toward the discovery paradigm. Young engineers come out of their degree programs having taken courses such as “Statistics for Engineers and Scientists” without any clear idea as to how they can use statistical methods to help them design products or processes. Many seem to think that statistics is only useful for demonstrating that a device or process actually does what it was designed to do. Statistics courses emphasize creating predictive or classification models – predicting nature or classifying individuals, and statistics is often used to prove or disprove phenomena as opposed to aiding in the design of a product or process. In industry however, Chemical Engineers use designed experiments to optimize petroleum extraction; Manufacturing Engineers use experimental data to optimize machine operation; Industrial Engineers might use data to determine the optimal number of operators required in a manual assembly process. This text teaches engineering and applied science students to incorporate empirical investigation into such design processes.

Basic Category Theory for Computer Scientists - Benjamin C. Pierce (1).pdf 个人收集电子书，仅用学习使用，不可用于商业用途，如有版权问题，请联系删除！

一本经典的概率和统计书，英文PDF版。绝对值得珍藏！