Building an effective data science practice a framework to bootstrap and manage a successful data science practice

Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analyst...

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Bibliographic Details
Main Authors Raina, Vineet (Author), Krishnamurthy, Srinath (Author)
Format Electronic eBook
LanguageEnglish
Published [California] : Apress, 2022.
Subjects
Data mining.
Big data.
Machine learning.
Business > Data processing.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484274194
1484274199
1484274180
9781484274187
Physical Description1 online resource

Cover

Table of Contents:
  • Part One: Fundamentals
  • 1. Introduction: The Data Science Process
  • 2. Data Science and your business
  • 3. Monks vs. Cowboys: Data Science Cultures
  • Part Two: Classes of Problems
  • 4. Classification
  • 5. Regression
  • 6. Natural Language Processing
  • 7. Clustering
  • 8. Anomaly Detection
  • 9.Recommendations
  • 10. Computer Vision
  • 11. Sequential Decision Making
  • Part Three: Techniques & Technologies
  • 12. Overview
  • 13. Data Capture
  • 14. Data Preparation
  • 15. Data Visualization
  • 16. Machine Learning
  • 17. Inference
  • 18. Other tools and services
  • 19. Reference Architecture
  • 20. Monks vs. Cowboys: Praxis
  • Part Four: Building Teams and Executing Projects
  • 21. The Skills Framework
  • 22. Building and structuring the team
  • 23. Data Science Projects
  • Appendix FAQs.

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