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Practical Data Science with R

von Zumel, Nina / Mount, John   (Autor)

This invaluable addition to any data scientist s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.ÿ Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.ÿ Key features Data science and statistical analysis for the business professionalÿ Numerous instantly familiar real-world use casesÿ Keys to effective data presentationsÿ Modeling and analysis techniques like boosting, regularized regression, and quadraticÿdiscriminantÿÿ analysis AudienceWhile some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science. About the technologyBusiness analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-dayÿ

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Produktbeschreibung

This invaluable addition to any data scientist s library shows you how to apply the R programming language and useful statistical techniques to everyday business situations as well as how to effectively present results to audiences of all levels. To answer the ever-increasing demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more.ÿ
Practical Data Science with R, Second Edition takes a practice oriented approach to explaining basic principles in the ever-expanding field of data science. You ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.ÿ
Key features Data science and statistical analysis for the business professionalÿ Numerous instantly familiar real-world use casesÿ Keys to effective data presentationsÿ Modeling and analysis techniques like boosting, regularized regression, and quadraticÿdiscriminantÿÿ analysis
AudienceWhile some familiarity with basic statistics and R is assumed, this book is accessible to readers with or without a background in data science.
About the technologyBusiness analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-dayÿ 

Autoreninfo

Nina Zumel
Nina Zumel co-founded Win-Vector, a data science consulting firm in San Francisco. She holds a PH.D. in robotics from Carnegie Mellon and was a content developer for EMC's Data Science and Big Data Analytics Training Course. Nina also contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.John Mount
John Mount co-founded Win-Vector, a data science consulting firm in San Francisco. He has a Ph.D. in computer science from Carnegie Mellon and over 15 years of applied experience in biotech research, online advertising, price optimization and finance. He contributes to the Win-Vector Blog, which covers topics in statistics, probability, computer science, mathematics and optimization.  

Mehr vom Verlag:

Manning Publications

Mehr vom Autor:

Zumel, Nina / Mount, John

Produktdetails

Medium: Buch
Format: Kartoniert
Seiten: 483
Sprache: Englisch
Erschienen: Dezember 2019
Auflage: 2 ed
Sonstiges: Trade Paperback
Maße: 233 x 187 mm
Gewicht: 931 g
ISBN-10: 1617295876
ISBN-13: 9781617295874

Bestell-Nr.: 27254921 
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LIBRI-EK*: 37.85 € (10.00%)
LIBRI-VK: 45,00 €
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UVP: 2 
Warengruppe: 27350 

KNO: 79233525
KNO-EK*: 29.67 € (22.50%)
KNO-VK: 46,00 €
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P_ABB: Illustrations, unspecified
KNOABBVERMERK: 2. Aufl. 2019. 483 S. 235 mm
KNOSONSTTEXT: Trade Paperback
Einband: Kartoniert
Auflage: 2 ed
Sprache: Englisch

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