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

データサイエンスのための統計学入門 : 予測, 分類, 統計モデリング, 統計的機械学習とR/Pythonプログラミング /

"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., 1953- (Author), Bruce, Andrew, 1958- (Author), Gedeck, Peter (Author)
Other Authors:	Kurokawa, Toshiaki (Translator), Ōhashi, Shin'ya
Format:	eBook
Language:	Japanese
Published:	Tōkyō-to Shinjuku-ku : Orairī Japan, 2020.
Edition:	Dai 2-han.
Subjects:	Mathematical analysis > Statistical methods. Quantitative research > Statistical methods. R (Computer program language) Python (Computer program language) Statistics > Data processing. Analyse mathématique > Méthodes statistiques. Recherche quantitative > Méthodes statistiques. R (Langage de programmation) Python (Langage de programmation) Statistique > Informatique.
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Shu ju ke xue zhong de shi yong tong ji xue = Practical statistics for data scientists /

数据科学中的实用统计学 = Practical statistics for data scientists /

by Bruce, Peter C., 1953-, Bruce, Andrew, 1958-, Gedeck, Peter
Published 2021

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Statystyka praktyczna w data science : 50 kluczowych zagadnień w językach R i Python /

by Bruce, Peter C., 1953-, Bruce, Andrew, 1958-, Gedeck, Peter
Published 2021

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eBook

Practical Statistics for Data Scientists /

by Bruce, Peter, Bruce, Andrew
Published 2017

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eBook