The big R-book: from data science to learning machines and big data
"This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ
Wiley
2021
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Schlagworte: | |
Online-Zugang: | FAW01 FAW02 FHN01 FHO01 FUBA1 UBG01 UBY01 UPA01 Volltext |
Zusammenfassung: | "This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"--.. |
Beschreibung: | 1 Online-Ressource (xxxiii, 892 Seiten) Illustrationen, Diagramme |
ISBN: | 9781119632757 9781119632764 9781119632771 |
DOI: | 10.1002/9781119632757 |
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Datensatz im Suchindex
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illustrated | Not Illustrated |
index_date | 2024-07-03T16:11:08Z |
indexdate | 2024-07-10T09:01:26Z |
institution | BVB |
isbn | 9781119632757 9781119632764 9781119632771 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032466689 |
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physical | 1 Online-Ressource (xxxiii, 892 Seiten) Illustrationen, Diagramme |
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publisher | Wiley |
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spelling | De Brouwer, Philippe J.S. 1969- Verfasser (DE-588)1225059283 aut The big R-book from data science to learning machines and big data Philippe J.S. De Brouwer Hoboken, NJ Wiley 2021 1 Online-Ressource (xxxiii, 892 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier "This book provides an overall introduction to R with a focus on tools and methods commonly used in Data Science, with an emphasis on practice and business use.The intention is to provide a practical guide for non-experts with a focus on business users. The author covers a wide range of topics in a single book: databases, statistical machine learning, data wrangling, data visualization, and reporting such results. The book includes seven parts. Part 1 is an Introduction, Part 2 provides an overview of R and elements of statistics. Part 3 revolves around data, while Part 4 focuses on data wrangling. Next, Part 5 focuses on exploring data. Modelling is covered in Part 6, while Part 7 covers reports. Finally, Part 7 contains appendices. The topics covered are all important for someone with a science/math background that is looking to quickly learn several practical technologies to enter or transition to the growing field of data science"--.. Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-119-63272-6 https://doi.org/10.1002/9781119632757 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | De Brouwer, Philippe J.S. 1969- The big R-book from data science to learning machines and big data Maschinelles Lernen (DE-588)4193754-5 gnd R Programm (DE-588)4705956-4 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4705956-4 |
title | The big R-book from data science to learning machines and big data |
title_auth | The big R-book from data science to learning machines and big data |
title_exact_search | The big R-book from data science to learning machines and big data |
title_exact_search_txtP | The big R-book from data science to learning machines and big data |
title_full | The big R-book from data science to learning machines and big data Philippe J.S. De Brouwer |
title_fullStr | The big R-book from data science to learning machines and big data Philippe J.S. De Brouwer |
title_full_unstemmed | The big R-book from data science to learning machines and big data Philippe J.S. De Brouwer |
title_short | The big R-book |
title_sort | the big r book from data science to learning machines and big data |
title_sub | from data science to learning machines and big data |
topic | Maschinelles Lernen (DE-588)4193754-5 gnd R Programm (DE-588)4705956-4 gnd |
topic_facet | Maschinelles Lernen R Programm |
url | https://doi.org/10.1002/9781119632757 |
work_keys_str_mv | AT debrouwerphilippejs thebigrbookfromdatasciencetolearningmachinesandbigdata |