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Sinopsis
"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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
De la contraportada
Data Science with R deals with implementing many useful data analysis methodologies with the R programming language. The target audience for this book is non-R programmers and non-statisticians. The book will cover all the necessary concepts from the basics to state-of-the-art technologies like working with big data. The author attempts to strike a balance between the how : specific processes and methodologies, while also talking about the why : giving an intuition behind how a particular technique works, so that the reader can apply the generalized solution to the problem at hand.
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Beginning Data Science with R
Publicado por
Springer International Publishing, 2017
ISBN 10: 3319374737
ISBN 13: 9783319374734
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Introduces fundamental data science methodologies using the R programming language- Covers concepts through real-world datasets and case studies- Examines cutting edge topics in both research and commercial applicationsDr. Manas A. Nº de ref. del artículo: 448748351
Cantidad disponible: Más de 20 disponibles
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Beginning Data Science with R
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9783319374734_new
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Beginning Data Science with R
Publicado por
Springer International Publishing Apr 2017, 2017
ISBN 10: 3319374737
ISBN 13: 9783319374734
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'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. 172 pp. Englisch. Nº de ref. del artículo: 9783319374734
Cantidad disponible: 2 disponibles
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Beginning Data Science with R
Publicado por
Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 3319374737
ISBN 13: 9783319374734
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - '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. Nº de ref. del artículo: 9783319374734
Cantidad disponible: 1 disponibles
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Beginning Data Science with R
Librería: California Books, Miami, FL, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: I-9783319374734
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Beginning Data Science with R
Publicado por
Springer Nature Switzerland, Springer International Publishing Apr 2017, 2017
ISBN 10: 3319374737
ISBN 13: 9783319374734
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -¿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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 172 pp. Englisch. Nº de ref. del artículo: 9783319374734
Cantidad disponible: 2 disponibles
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Beginning Data Science With R
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. reprint edition. 172 pages. 9.25x6.10x0.41 inches. In Stock. Nº de ref. del artículo: x-3319374737
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Beginning Data Science with R
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020095873
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Beginning Data Science with R
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Paperback. Condición: New. New. book. Nº de ref. del artículo: ERICA80033193747376
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