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Data Mining

This book arose out of a data mining course at MIT’s Sloan School of Management. Preparation for the course revealed that there are a number of excellent books on the business context of data mining, but their coverage of the statistical and machine-learning algorithms that underlie data mining is not sufficiently detailed to provide a practical guide if the instructor’s goal is to equip students with the skills and tools to implement those algorithms. On the other hand, there are also a number of more technical books about data mining algorithms, but these are aimed at the statistical researcher, or more advanced graduate student, and do not provide the case-oriented business focus that is successful in teaching business students.

JavaScript for PHP Developers

JavaScript is the language of the browser. It’s also the language that allows you to build increasingly diverse types of client, server, desktop, mobile, and shell applications. HTML5 continues the trend of allowing you to build rich applications (formerly known as RIA, Ajax, and DHTML) with new features such as local storage, databases on the client, geolocation, image, and audio and video APIs—all exposed and scriptable with JavaScript. Fluency in JavaScript is a must for every web developer today.

Data Mashups in R

This book will demonstrate how real-world data is imported, managed, visualized, and analyzed within R.

Java Programming 24-Hour Trainer.

This book is for anyone who wants to learn how to program with the Java language. No previous programming experience is expected.

Big Data Analytics Using Splunk

Big Data Analytics Using Splunk 是一部很好的工具书