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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hawkins, John (Data scientist & machine learning researcher) (Autor)
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:
Business > Data processing > Management.
Project management.
Data mining.
Big data.
Gestion > Informatique > Gestion.
Gestion de projet.
Exploration de données (Informatique)
Données volumineuses.
Business > Data processing > Management
Big data
Data mining
Project management
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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

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