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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

Concepts

Author (1):

Kirill Dubovikov

Table of Contents (18) Chapters

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

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Authors (1)

Kirill Dubovikov

Kirill Dubovikov works as a CTO for Cinimex DataLab. He has more than 10 years of experience in architecting and developing complex software solutions for top Russian banks. Now, he leads the company's data science branch. His team delivers practical machine learning applications to businesses across the world. Their solutions cover an extensive list of topics, such as sales forecasting and warehouse planning, natural language processing (NLP) for IT support centers, algorithmic marketing, and predictive IT operations. Kirill is a happy father of two boys. He loves learning all things new, reading books, and writing articles for top Medium publications.

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