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Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu

"Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-e...

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Bibliographic Details
Main Authors: Bruce, Peter C., Bruce, Andrew (Author), Gedeck, Peter (Author)
Other Authors: Kurokawa, Toshiaki (Translator)
Format: eBook
Language:Japanese
Published: Tōkyō-to Shinjuku-ku Orairī Japan 2020
Edition:Dai 2-han
Subjects:
R (langage De Programmation)
Python (computer Program Language) / Fast
Python (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh96008834
Mathematical Analysis / Statistical Methods / Fast
R (computer Program Language) / Fast
Recherche Quantitative / Méthodes Statistiques
Quantitative Research / Statistical Methods
Quantitative Research / Statistical Methods / Fast
Statistique / Informatique
Analyse Mathématique / Méthodes Statistiques
Statistics / Data Processing / Fast
R (computer Program Language) / Http://id.loc.gov/authorities/subjects/sh2002004407
Python (langage De Programmation)
Statistics / Data Processing / Http://id.loc.gov/authorities/subjects/sh85127583
Mathematical Analysis / Statistical Methods
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references (pages 345-349) and index

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