Winning with Data Science: A Handbook for Business Leaders
This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York
Columbia University Press
2024
|
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Zusammenfassung: | This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (272 Seiten) |
| ISBN: | 9780231556699 |
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| 505 | 8 | |a Intro -- Table of Contents -- Acknowledgments -- Introduction -- 1. Tools of the Trade -- 2. The Data Science Project -- 3. Data Science Foundations -- 4. Making Decisions with Data -- 5. Clustering, Segmenting, and Cutting Through the Noise -- 6. Building Your First Model -- 7. Tools for Machine Learning -- 8. Pulling It Together -- 9. Ethics -- Conclusion -- Notes -- Index | |
| 520 | |a This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams | ||
| 650 | 4 | |a Management-Statistical methods | |
| 650 | 4 | |a Databases | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Electronic data processing | |
| 700 | 1 | |a Swaminathan, Akshay |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Friedman, Howard Steven |t Winning with Data Science |d New York : Columbia University Press,c2024 |
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Datensatz im Suchindex
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| contents | Intro -- Table of Contents -- Acknowledgments -- Introduction -- 1. Tools of the Trade -- 2. The Data Science Project -- 3. Data Science Foundations -- 4. Making Decisions with Data -- 5. Clustering, Segmenting, and Cutting Through the Noise -- 6. Building Your First Model -- 7. Tools for Machine Learning -- 8. Pulling It Together -- 9. Ethics -- Conclusion -- Notes -- Index |
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| dewey-full | 658.4033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4033 |
| dewey-search | 658.4033 |
| dewey-sort | 3658.4033 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV049871002 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-18T12:00:45Z |
| institution | BVB |
| isbn | 9780231556699 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035210477 |
| oclc_num | 1416745309 |
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| physical | 1 Online-Ressource (272 Seiten) |
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| publisher | Columbia University Press |
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| spelling | Friedman, Howard Steven Verfasser aut Winning with Data Science A Handbook for Business Leaders New York Columbia University Press 2024 ©2024 1 Online-Ressource (272 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Table of Contents -- Acknowledgments -- Introduction -- 1. Tools of the Trade -- 2. The Data Science Project -- 3. Data Science Foundations -- 4. Making Decisions with Data -- 5. Clustering, Segmenting, and Cutting Through the Noise -- 6. Building Your First Model -- 7. Tools for Machine Learning -- 8. Pulling It Together -- 9. Ethics -- Conclusion -- Notes -- Index This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams Management-Statistical methods Databases Data mining Electronic data processing Swaminathan, Akshay Sonstige oth Erscheint auch als Druck-Ausgabe Friedman, Howard Steven Winning with Data Science New York : Columbia University Press,c2024 |
| spellingShingle | Friedman, Howard Steven Winning with Data Science A Handbook for Business Leaders Intro -- Table of Contents -- Acknowledgments -- Introduction -- 1. Tools of the Trade -- 2. The Data Science Project -- 3. Data Science Foundations -- 4. Making Decisions with Data -- 5. Clustering, Segmenting, and Cutting Through the Noise -- 6. Building Your First Model -- 7. Tools for Machine Learning -- 8. Pulling It Together -- 9. Ethics -- Conclusion -- Notes -- Index Management-Statistical methods Databases Data mining Electronic data processing |
| title | Winning with Data Science A Handbook for Business Leaders |
| title_auth | Winning with Data Science A Handbook for Business Leaders |
| title_exact_search | Winning with Data Science A Handbook for Business Leaders |
| title_full | Winning with Data Science A Handbook for Business Leaders |
| title_fullStr | Winning with Data Science A Handbook for Business Leaders |
| title_full_unstemmed | Winning with Data Science A Handbook for Business Leaders |
| title_short | Winning with Data Science |
| title_sort | winning with data science a handbook for business leaders |
| title_sub | A Handbook for Business Leaders |
| topic | Management-Statistical methods Databases Data mining Electronic data processing |
| topic_facet | Management-Statistical methods Databases Data mining Electronic data processing |
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