Condition: New. 168 pp., hardcover, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Published by Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 3319374737 ISBN 13: 9783319374734
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: 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.
Published by Springer Nature Switzerland, Springer International Publishing Apr 2017, 2017
ISBN 10: 3319374737 ISBN 13: 9783319374734
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: 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.
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Add to basketPaperback. Condition: Brand New. reprint edition. 172 pages. 9.25x6.10x0.41 inches. In Stock.
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Published by Springer International Publishing, Springer International Publishing Dez 2014, 2014
ISBN 10: 3319120654 ISBN 13: 9783319120652
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
US$ 179.90
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Add to basketBuch. Condition: 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.
Published by Springer International Publishing, 2014
ISBN 10: 3319120654 ISBN 13: 9783319120652
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 179.90
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Add to basketBuch. Condition: 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.
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Add to basketHardcover. Condition: Brand New. 2014 edition. 157 pages. 9.25x6.25x0.75 inches. In Stock.
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Published by Springer International Publishing Apr 2017, 2017
ISBN 10: 3319374737 ISBN 13: 9783319374734
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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.
Published by Springer International Publishing, 2017
ISBN 10: 3319374737 ISBN 13: 9783319374734
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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.
Published by Springer International Publishing, 2014
ISBN 10: 3319120654 ISBN 13: 9783319120652
Language: English
Seller: moluna, Greven, Germany
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Add to basketGebunden. Condition: 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.
Published by Springer International Publishing Dez 2014, 2014
ISBN 10: 3319120654 ISBN 13: 9783319120652
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 179.90
Convert currencyQuantity: 2 available
Add to basketBuch. Condition: 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.