Managing data science [E-Book] / Kirill Dubovikov.
Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requi...
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Full text |
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Personal Name(s): | Dubovikov, Kirill, author |
Imprint: |
[Birmingham] :
Packt Publishing,
2019
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Physical Description: |
276 pages (online resource) |
Note: |
englisch |
ISBN: |
9781838824563 9781838826321 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- Managing data science
- Contributors
- Table of Contents
- Preface
- Section 1: What is Data Science?
- Chapter 1: What You Can Do with Data Science
- Chapter 2: Testing Your Models
- Chapter 3: Understanding AI
- Section 2: Building and Sustaining a Team
- Chapter 4: An Ideal Data Science Team
- Chapter 5: Conducting Data Science Interviews
- Chapter 6: Building Your Data Science Team
- Section 3: Managing Various Data Science Projects
- Chapter 7: Managing Innovation
- Chapter 8: Managing Data Science Projects
- Chapter 9: Common Pitfalls of Data Science Projects
- Chapter 10: Creating Products and Improving Reusability
- Section 4: Creating a Development Infrastructure
- Chapter 11: Implementing ModelOps
- Chapter 12: Building Your Technology Stack
- Chapter 13: Conclusion
- Other Books You May Enjoy
- Index.