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Getting data science done : managing projects from ideas to products /
Getting data science done outlines the essential stages in running successful data science projects. The book provides comprehensive guide-lines to help you identify potential issues and then a range of strategies formitigating them. The book is organized as a sequential process allowing the reader...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Business Expert Press,
2022.
|
| Edición: | First edition. |
| Colección: | Business expert press big data, business analytics and smart technology collection.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_on1340959864 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 220903s2022 nyu o 001 0 eng d | ||
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| 019 | |a 1340031526 | ||
| 020 | |a 9781637422786 | ||
| 020 | |a 1637422784 | ||
| 020 | |z 1637422776 | ||
| 020 | |z 9781637422779 | ||
| 029 | 1 | |a AU@ |b 000074537188 | |
| 035 | |a (OCoLC)1340959864 |z (OCoLC)1340031526 | ||
| 050 | 4 | |a HD69.P75 |b H39 2022eb | |
| 082 | 0 | 4 | |a 658.054 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Hawkins, John |c (Data scientist & machine learning researcher), |e author. | |
| 245 | 1 | 0 | |a Getting data science done : |b managing projects from ideas to products / |c John Hawkins. |
| 250 | |a First edition. | ||
| 264 | 1 | |a New York : |b Business Expert Press, |c 2022. | |
| 300 | |a 1 online resource (220 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Business expert press big data, business analytics and smart technology collection. | |
| 500 | |a Description based upon print version of record. | ||
| 505 | 0 | |a Cover -- Halftitle -- Title -- Copyright -- Description -- Contents -- Preface -- Acknowledgments -- Introduction -- Part I: Problem Framing -- Chapter 1: Getting Started -- Chapter 2: Project Parameters -- Chapter 3: Getting Buy-In -- Chapter 4: Getting Context -- Chapter 5: Getting Measurements -- Chapter 6: Consider Interventions -- Chapter 7: Dwell on Constraints -- Chapter 8: Project Focus -- Chapter 9: Getting Success Metrics -- Part II: Execution -- Chapter 10: Getting Data Updates -- Chapter 11: Data Familiarity -- Chapter 12: Data Science Methods -- Chapter 13: Insights and Analytics | |
| 505 | 8 | |a Chapter 14: Pattern Discovery -- Chapter 15: Predictive Modeling -- Chapter 16: Model Context -- Chapter 17: Project Delivery -- Chapter 18: Estimating ROI -- Chapter 19: Deployment -- Chapter 20: Model Monitoring -- Conclusion -- About the Author -- Index -- Adpage -- Backcover | |
| 520 | 3 | |a Getting data science done outlines the essential stages in running successful data science projects. The book provides comprehensive guide-lines to help you identify potential issues and then a range of strategies formitigating them. The book is organized as a sequential process allowing the reader to work their way through a project from an initial idea all the way to a deployed and integrated product. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Business |x Data processing |x Management. | |
| 650 | 0 | |a Project management. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Big data. | |
| 650 | 6 | |a Gestion |x Informatique |x Gestion. | |
| 650 | 6 | |a Gestion de projet. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 7 | |a Business |x Data processing |x Management |2 fast | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Project management |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Hawkins, John |t Getting Data Science Done |d New York : Business Expert Press,c2022 |z 9781637422779 |
| 830 | 0 | |a Business expert press big data, business analytics and smart technology collection. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=29423597 |z Texto completo |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL29423597 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH40530092 | ||
| 938 | |a YBP Library Services |b YANK |n 303064744 | ||
| 938 | |a Business Expert Press |b BEPR |n 9781637422786 | ||
| 938 | |a EBSCOhost |b EBSC |n 3282615 | ||
| 994 | |a 92 |b IZTAP | ||