A First Course in Machine Learning, Second Edition (Machine Learning & Pattern Recognition) by Simon Rogers, Mark Girolami 2016 | ISBN: 1498738486 | English | 427 pages | PDF | 161 MB "A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." ―Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade." ―Daniel Barbara, George Mason University, Fairfax, Virginia, USA "The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book introduces concepts such as mathematical modeling, inference, and prediction, providing ‘just in time’ the essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts." ―Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark "I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength…Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and one that I will be looking at for my own students in coming months." ―David Clifton, University of Oxford, UK "The first edition of this book was already an excellent introductory text on machine learning for an advanced undergraduate or taught masters level course, or indeed for anybody who wants to learn about an interesting and important field of computer science. The additional chapters of advanced material on Gaussian process, MCMC and mixture modeling provide an ideal basis for practical projects, without disturbing the very clear and readable exposition of the basics contained in the first part of the book." ―Gavin Cawley, Senior Lecturer, School of Computing Sciences, University of East Anglia, UK "This book could be used for junior/senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning…The book introduces not only the concepts but the underlying ideas on algorithm implementation from a critical thinking perspective." ―Guangzhi Qu, Oakland University, Rochester, Michigan, USA

A First Course in Machine Learning MATLAB 2009

head first 设计模式 中文版带书签

[美] Michael Milton 等 著；刘静 等 译 文件大小：176.09MB

12本head-first 系列合集，由于上传文件大小限制，分成上、下两部分，这里包含包含JavaScript， SQL, android， java, python, rails

12本head-first 系列合集，由于上传文件大小限制，分成上、下两部分，这里包含包含EJB, HTML, CSS, JQuery, PHP，JSP等6本

Head First设计模式, 中国电力出版社出版，英文书名：Head First Design Patterns。作者：弗里曼。《Head First设计模式》荣获2005年第十五届Jolt通用类图书震撼大奖。英文影印版被《程序员》等机构评选为2006年受读者喜爱的十大IT图书之一 。本书案例和程序虽然用Java编写，但所介绍的内容对于任何OO语言的用户都适用，包括C++和C#。信耶稣的人都要读圣经，信OO的人都要读四人组的《设计模式》，而《设计模式》的原创者Erich Gamma欣然推荐《Head First 设计模式》。

Head First 系列丛书之 Head First Statistics[深入浅出统计学](中文版)。

《Head First Ajax(中文版)》是了解如何构建动态、交互式Web应用的一个完美学习体验。这本书专门针对你的大脑而制作，涵盖JavaScript、XHTML、异步和同步请求、DOM以及扩展和提升你的Web应用开发能力所需的所有内容。你要做的不只是记住其他人所写框架中的某些方法，也不再只是从某个工具包向应用拖放部件。读完这本书，你将构建一流的应用，能够与服务器通信而无需重新加载页面，能够响应用户的动作在屏幕上移动元素，甚至在用户犯错误之前就能够预料到用户可能犯的错误。

Head First Java, Second Edition【中英对照】.pdf