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Beginning Data Science with R
Manas A. Pathak
€ 182.84
FREE Delivery in Ireland
Description for Beginning Data Science with R
Hardcover. Beginning Data Science with R Num Pages: 157 pages, 129 black & white illustrations, 26 colour illustrations, 5 black & white tables, biograp. BIC Classification: TBJ; TTBM; UFM. Category: (P) Professional & Vocational. Dimension: 243 x 161 x 15. Weight in Grams: 406.
“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 ... Read more
“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 ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Number of Pages
157
Place of Publication
Cham, Switzerland
ISBN
9783319120652
SKU
V9783319120652
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Manas A. Pathak
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 ... Read more
Reviews for Beginning Data Science with R
“The target audience for this book is non-R programmers and non-statisticians. … if you want to get started with R and/or new statistical procedures have a look at this book. It can be quite helpful.” (David E. Booth, Technometrics, Vol. 58 (2), 2016) “This book is written for coders who already know how to code to learn R for ... Read more