Data science in practice:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2024
|
| Schriftenreihe: | Chapman & Hall/CRC data science series
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1201/9781003426363 https://doi.org/10.1201/9781003426363 |
| Abstract: | "Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"-- |
| Beschreibung: | bereits 2023 erschienen "Copyright ©2022 Rheinwerk Verlag GmbH. All rights reserved. First published inthe German language under the title "Data Science in der Praxis" (ISBN 978-3-8362-8462-2) by Rheinwerk Verlag GmbH, Bonn, Germany. Translated into English from German by Tom Alby. |
| Umfang: | 1 Online-Ressource (xvi, 301 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781003426363 |
| DOI: | 10.1201/9781003426363 |
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| 505 | 8 | |a Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book? | |
| 520 | 3 | |a "Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"-- | |
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| contents | Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book? |
| ctrlnum | (OCoLC)1414545608 (DE-599)BVBBV049437000 |
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| id | DE-604.BV049437000 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T14:37:16Z |
| institution | BVB |
| isbn | 9781003426363 |
| language | English |
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| physical | 1 Online-Ressource (xvi, 301 Seiten) Illustrationen, Diagramme |
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| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | CRC Press |
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| series2 | Chapman & Hall/CRC data science series |
| spelling | Alby, Tom 1972- Verfasser (DE-588)1201371317 aut Data Science in der Praxis Data science in practice Tom Alby Boca Raton, FL CRC Press 2024 1 Online-Ressource (xvi, 301 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Chapman & Hall/CRC data science series bereits 2023 erschienen "Copyright ©2022 Rheinwerk Verlag GmbH. All rights reserved. First published inthe German language under the title "Data Science in der Praxis" (ISBN 978-3-8362-8462-2) by Rheinwerk Verlag GmbH, Bonn, Germany. Translated into English from German by Tom Alby. Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book? "Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles"-- Data mining Big data Quantitative research / Methodology R (Computer program language) Erscheint auch als Druck-Ausgabe 978-1-032-50524-4 Erscheint auch als Druck-Ausgabe 978-1-032-50526-8 https://doi.org/10.1201/9781003426363 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Alby, Tom 1972- Data science in practice Machine learning, data science and artificial intelligence -- The anatomy of a data science project -- Introduction to R -- Exploratory data analysis -- Forecasting -- Clustering -- Classification -- Other use cases -- Workflows and tools -- Ethical handling of data and algorithms -- Next steps after this book? |
| title | Data science in practice |
| title_alt | Data Science in der Praxis |
| title_auth | Data science in practice |
| title_exact_search | Data science in practice |
| title_full | Data science in practice Tom Alby |
| title_fullStr | Data science in practice Tom Alby |
| title_full_unstemmed | Data science in practice Tom Alby |
| title_short | Data science in practice |
| title_sort | data science in practice |
| url | https://doi.org/10.1201/9781003426363 |
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