The Decision Maker's Handbook to Data Science : AI and Data Science for Non-Technical Executives, Managers, and Founders

The Decision Maker's Handbook to Data Science AI and Data Science for Non-Technical Executives, Managers, and Founders

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. This third edition d...

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Detalles Bibliográficos
Autor principal: Kampakis, Stylianos (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2024.
Edición:3rd ed. 2024.
Materias:
Decision making > Data processing.
Artificial intelligence.
Big data.
Database management.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009837629906719
Tabla de Contenidos:
  • Chapter 1: Demystifying Data Science, AI 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: An introduction to AI
  • Chapter 9: Problem Solving
  • Chapter 10: Pitfalls
  • Chapter 11: Hiring and Managing Data Scientists
  • Chapter 12: Building a Data-Driven Culture
  • Chapter 13: AI Ethics
  • Chapter 14: The Future of AI and Data Science. Epilogue: Data Science Rules the World
  • Appendix: Tools for Data Science.

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