PORTO-
FREI

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. 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Buch (Kartoniert)

EUR 49,00

Alle Preisangaben inkl. MwSt.

SOFORT LIEFERBAR (am Lager)

Versandkostenfrei*

Versandtermin: 19. Februar 2020, wenn Sie jetzt bestellen.
(innerhalb Deutschlands, Sendungen in Geschenkverpackung: + 1 Werktag)

Dieser Artikel kann nicht bestellt werden.
 

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.

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.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 

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: 448
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 
Libri-Verkaufsrang (LVR):
Libri-Relevanz: 0 (max 9.999)
 

LIBRI: 0000000
LIBRI-EK*: 41.21 € (10.00%)
LIBRI-VK: 49,00 €
Libri-STOCK: 0
LIBRI: 018 Besorgungstitel * EK = ohne MwSt.

UVP: 2 
Warengruppe: 27350 

KNO: 79233525
KNO-EK*: 29.67 € (25.00%)
KNO-VK: 47,07 €
KNV-STOCK: 1

P_ABB: Illustrations, unspecified
KNOABBVERMERK: 2. Aufl. 2019. 483 S. 380 mm
KNOSONSTTEXT: Trade Paperback
Einband: Kartoniert
Auflage: 2 ed
Sprache: Englisch

Alle Preise inkl. MwSt., innerhalb Deutschlands liefern wir immer versandkostenfrei. Informationen zum Versand ins Ausland.

Kostenloser Versand*

innerhalb eines Werktages

OHNE RISIKO

30 Tage Rückgaberecht

Käuferschutz

mit Geld-Zurück-Garantie