The decision maker's handbook to data science : a guide for non-technical executives, managers, and founders /

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Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kampakis, Stylianos (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, CA] : Apress, [2020]
Edición:Second edition.
Temas:
Decision making > Data processing.
Big data.
Database management.
Prise de décision > Informatique.
Données volumineuses.
Bases de données > Gestion.
Big data
Database management
Decision making > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Chapter 1: Demystifying Data Science and All the Other Buzzwords
  • Chapter 2: Data Management
  • Chapter 3: Data Collection Problems
  • Chapter 4: How to Keep Data Tidy
  • Chapter 5: Thinking like a Data Scientist (Without Being One)
  • Chapter 6: A Short Introduction to Statistics
  • Chapter 7: A Short Introduction to Machine Learning
  • Chapter 8: Problem Solving
  • Chapter 9: Pitfalls
  • Chapter 10: Hiring and Managing Data Scientists
  • Chapter 11: Building a Data-Science Culture
  • Chapter 12: Epilogue: Data Science Rules the World
  • Appendix A: Tools for Data Science.

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