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Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data

Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen
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Join the data-centric revolution and master the concepts, techniques and algorithms underpinning the future of AI and ML development, using Python This book is for data science professionals wanting to understand what data-centricity is, its benefits over a model-centric approach and how to apply a best-practice data-centric approach to their work. This book is also for other data professionals and senior leaders wanting to explore the tools and techniques to improve data quality and how to create opportunities for “small data” ML/AI in their organisations. Data centricity is a new development within data science and learning materials and informational content on the topic is relatively limited. This book provides a rare end-to-end overview of data-centric ML, including hands-on application of technical and non-technical approaches to generating deeper and more accurate datasets. It is expected that the reader has a good handle on the ML/AI process in general, and foundational knowledge of statistical methods and Python, if they want to complete the most technical parts of the book.
Language
English
Pages
300
Format
Paperback
Release
March 11, 2024
ISBN 13
9781804618127

Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen
0/5 ( ratings)
Read Download
Join the data-centric revolution and master the concepts, techniques and algorithms underpinning the future of AI and ML development, using Python This book is for data science professionals wanting to understand what data-centricity is, its benefits over a model-centric approach and how to apply a best-practice data-centric approach to their work. This book is also for other data professionals and senior leaders wanting to explore the tools and techniques to improve data quality and how to create opportunities for “small data” ML/AI in their organisations. Data centricity is a new development within data science and learning materials and informational content on the topic is relatively limited. This book provides a rare end-to-end overview of data-centric ML, including hands-on application of technical and non-technical approaches to generating deeper and more accurate datasets. It is expected that the reader has a good handle on the ML/AI process in general, and foundational knowledge of statistical methods and Python, if they want to complete the most technical parts of the book.
Language
English
Pages
300
Format
Paperback
Release
March 11, 2024
ISBN 13
9781804618127

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