Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Weitere beteiligte Personen: | , |
| Format: | Elektronisch E-Book |
| Sprache: | Japanisch |
| Veröffentlicht: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2020
|
| Ausgabe: | Dai 2-han. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9784873119267/?ar |
| Zusammenfassung: | "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-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning." -- |
| Beschreibung: | Includes bibliographical references (pages 345-349) and index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) |
| Umfang: | 1 online resource (396 pages) |
| ISBN: | 9784873119267 487311926X |
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| spelling | Bruce, Peter C. 1953- VerfasserIn aut Practical statistics for data scientists 880-01 Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : Peter Bruce, Andrew Bruce, Peter Gedeck cho ; Kurokawa Toshiaki ; Ōhashi Shin'ya gijutsu kanshū = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck Practical statistics for data scientists : 880-02 Dai 2-han. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2020 1 online resource (396 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references (pages 345-349) and index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) "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-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning." -- 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 Quantitative research ; Statistical methods Mathematical analysis ; Statistical methods Statistics ; Data processing Bruce, Andrew 1958- VerfasserIn aut Gedeck, Peter VerfasserIn aut Kurokawa, Toshiaki ÜbersetzerIn trl Ōhashi, Shin'ya MitwirkendeR ctb 245-01/Chin 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 / Peter Bruce, Andrew Bruce, Peter Gedeck著 ; 黒川利明訳 ; 大橋真也技術監修 = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck. 250-02/Chin 第 2版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2020 |
| spellingShingle | Bruce, Peter C. 1953- Bruce, Andrew 1958- Gedeck, Peter Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : 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 Quantitative research ; Statistical methods Mathematical analysis ; Statistical methods Statistics ; Data processing |
| title | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : |
| title_alt | Practical statistics for data scientists Practical statistics for data scientists : |
| title_auth | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : |
| title_exact_search | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : |
| title_full | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : Peter Bruce, Andrew Bruce, Peter Gedeck cho ; Kurokawa Toshiaki ; Ōhashi Shin'ya gijutsu kanshū = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck |
| title_fullStr | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : Peter Bruce, Andrew Bruce, Peter Gedeck cho ; Kurokawa Toshiaki ; Ōhashi Shin'ya gijutsu kanshū = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck |
| title_full_unstemmed | Dēta saiensu no tame no tōkeigaku nyūmon yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : Peter Bruce, Andrew Bruce, Peter Gedeck cho ; Kurokawa Toshiaki ; Ōhashi Shin'ya gijutsu kanshū = Practical statistics for data scientists : 50+ essential concepts using R and Python / Peter Bruce, Andrew Bruce, and Peter Gedeck |
| title_short | Dēta saiensu no tame no tōkeigaku nyūmon |
| title_sort | deta saiensu no tame no tokeigaku nyumon yosoku bunrui tokei moderingu tokeiteki kikai gakushu to r python puroguramingu practical statistics for data scientists |
| title_sub | yosoku, bunrui, tōkei moderingu, tōkeiteki kikai gakushū to R/Python puroguramingu / = Practical statistics for data scientists : |
| topic | 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 Quantitative research ; Statistical methods Mathematical analysis ; Statistical methods Statistics ; Data processing |
| topic_facet | 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 Quantitative research ; Statistical methods Mathematical analysis ; Statistical methods Statistics ; Data processing |
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