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Managing Data Science

You're reading from  Managing Data Science

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781838826321
Pages 290 pages
Edition 1st Edition
Languages
Author (1):
Kirill Dubovikov Kirill Dubovikov
Profile icon Kirill Dubovikov
Toc

Table of Contents (18) Chapters close

1. Section 1: What is Data Science?
2. What You Can Do with Data Science 3. Testing Your Models 4. Understanding AI 5. Section 2: Building and Sustaining a Team
6. An Ideal Data Science Team 7. Conducting Data Science Interviews 8. Building Your Data Science Team 9. Section 3: Managing Various Data Science Projects
10. Managing Innovation 11. Managing Data Science Projects 12. Common Pitfalls of Data Science Projects 13. Creating Products and Improving Reusability 14. Section 4: Creating a Development Infrastructure
15. Implementing ModelOps 16. Building Your Technology Stack 17. Conclusion 18. Other Books You May Enjoy

Determining the stage of your project

To develop the action plan of service improvement, you need to determine the type and stage of the project you are working on. We can divide projects into two major categories:

  • Products
  • Custom solutions

While products are reusable by nature, often, custom solutions aren't. However, custom solutions can be built from reusable components while not losing the qualities of made-to-order software. To grow these internal components and improve reusability, you should care about them through each stage of the project:

  • Minimum viable product (MVP): Think about the results of your previous projects that you can reuse while having a minimal investment of time. Even if it looks like building this functionality from scratch will be easier, creating a reusable component can save you a lot more time over a longer time span.
  • Development: Think about...
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