Free Delivery Over $100
|
|
|||
|
||||
Overview"“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." Full Product DetailsAuthor: Manas A. PathakPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 2014 ed. Dimensions: Width: 15.50cm , Height: 1.10cm , Length: 23.50cm Weight: 3.849kg ISBN: 9783319120652ISBN 10: 3319120654 Pages: 157 Publication Date: 18 December 2014 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Overview of the R Programming Language.- Getting Data into R.- Data Visualization.- Exploratory Data Analysis.- Regression.- Classification.- Text Mining.ReviewsFrom the book reviews: A comprehensive, yet short tutorial on practical application of R to the modern data science tasks or projects. ... Who I recommend it to: managers who work on data projects, technical team leaders, CS students, Business Intelligence professionals, beginner architects, general computer academia, statisticians, several categories of scientists or researchers as biologists, lab, criminologists, and also Finance pros or actuarials. (Compudicted, compudicted.wordpress.com, February, 2015) Author Information"Dr. Manas A. Pathak received a BTech degree in computer science from Visvesvaraya National Institute of Technology, Nagpur, India, in 2006, and MS and PhD degrees from the Language Technologies Institute at Carnegie Mellon University (CMU) in 2009 and 2012 respectively. His PhD thesis on ""Privacy-Preserving Machine Learning for Speech Processing"" was published as a monograph in the Springer best thesis series. His research received significant press coverage, including articles in the Economist and MIT Tech Review. He has many years of experience with data analysis using the R programming language. He is currently working as a staff software engineer at @WalmartLabs." Tab Content 6Author Website:Countries AvailableAll regions |
||||
