Beginning Data Science with R

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software, Technology
Cover of the book Beginning Data Science with R by Manas A. Pathak, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Manas A. Pathak ISBN: 9783319120669
Publisher: Springer International Publishing Publication: December 8, 2014
Imprint: Springer Language: English
Author: Manas A. Pathak
ISBN: 9783319120669
Publisher: Springer International Publishing
Publication: December 8, 2014
Imprint: Springer
Language: English

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

More books from Springer International Publishing

Cover of the book Informed Consent in Predictive Genetic Testing by Manas A. Pathak
Cover of the book Conspiracy & Populism by Manas A. Pathak
Cover of the book Design Optimisation and Validation of Phononic Crystal Plates for Manipulation of Elastodynamic Guided Waves by Manas A. Pathak
Cover of the book EU Competition Law, the Consumer Interest and Data Protection by Manas A. Pathak
Cover of the book Advocating Transitional Justice in Africa by Manas A. Pathak
Cover of the book MRI of the Lung by Manas A. Pathak
Cover of the book Risk Management in Public Administration by Manas A. Pathak
Cover of the book New Trends in Educational Activity in the Field of Mechanism and Machine Theory by Manas A. Pathak
Cover of the book Current Common Dilemmas in Colorectal Surgery by Manas A. Pathak
Cover of the book Guide to Simulation-Based Disciplines by Manas A. Pathak
Cover of the book Dynamics and Mechanism of DNA-Bending Proteins in Binding Site Recognition by Manas A. Pathak
Cover of the book Search-Based Software Engineering by Manas A. Pathak
Cover of the book Algorithmic Aspects of Cloud Computing by Manas A. Pathak
Cover of the book Organizational Innovation by Integrating Simplification by Manas A. Pathak
Cover of the book Advances in Nonlinear Geosciences by Manas A. Pathak
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy