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- Author: Zacharias Voulgaris
- Publisher: Technics Publications
- ISBN-10: 1634627830
- ISBN-13: 9781634627832
- Format: 15.2 x 22.9 x 1.2 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
Embrace the holistic set of skills and experiences required for data science success. (HINT: It's much more than just knowing math!)
Know what it takes to become a star data scientist, and how data science compares with and leverages other disciplines such as artificial intelligence (AI). Explore how data science adds value by focusing on business questions and how to graduate from being a good technical professional to becoming an invaluable member of a business team.
For those of us who are not data scientists, learn how to best leverage data science skills within your organization, how to hire a data scientist, and how to evaluate the outcome of a data science project.
The approach provided in this book is supported by the rich experiences of the authors, combined with findings from interviews with top data science professionals.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.16:28:27
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Zacharias Voulgaris
- Publisher: Technics Publications
- ISBN-10: 1634627830
- ISBN-13: 9781634627832
- Format: 15.2 x 22.9 x 1.2 cm, minkšti viršeliai
- Language: English English
Embrace the holistic set of skills and experiences required for data science success. (HINT: It's much more than just knowing math!)
Know what it takes to become a star data scientist, and how data science compares with and leverages other disciplines such as artificial intelligence (AI). Explore how data science adds value by focusing on business questions and how to graduate from being a good technical professional to becoming an invaluable member of a business team.
For those of us who are not data scientists, learn how to best leverage data science skills within your organization, how to hire a data scientist, and how to evaluate the outcome of a data science project.
The approach provided in this book is supported by the rich experiences of the authors, combined with findings from interviews with top data science professionals.
Reviews