Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts.
AngularJS: Up and Running: Enhanced Productivity with Structured Web Apps
If want to get started with AngularJS, either as a side project, an additional tool, or for your main work, this practical guide teaches you how to use this meta-framework step-by-step, from the basics to advanced concepts. By the end of the book, you’ll understand how to develop a large, maintainable, and performant...
Machine Learning for Hackers
To explain the perspective from which this book was written, it will be helpful to define
the terms machine learning and hackers.
What is machine learning? At the highest level of abstraction, we can think of machine
learning as a set of tools and methods that attempt to infer patterns and extract insight
from a record of the...
Jenkins: The Definitive Guide
This book is aimed at relatively technical readers, though no prior experience with
Continuous Integration is assumed. You may be new to Continuous Integration, and
would like to learn about the benefits it can bring to your development team. Or, you
might be using Jenkins or Hudson already, and want to discover how you can...
25 Recipes for Getting Started with R
R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R...
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