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Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends
book

Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends

by Aditya Nandan Prasad
December 2024
Intermediate to advanced
984 pages
27h 1m
English
Apress
Content preview from Introduction to Data Governance for Machine Learning Systems: Fundamental Principles, Critical Practices, and Future Trends
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
A. Nandan PrasadIntroduction to Data Governance for Machine Learning Systemshttps://doi.org/10.1007/979-8-8688-1023-7_2

2. Establishing a Data Governance Framework

Aditya Nandan Prasad1  
(1)
Bangalore, Karnataka, India
 

In today’s data-driven landscape, where machine learning (ML) initiatives are becoming increasingly prevalent, organizations must implement robust data governance frameworks to ensure the responsible and effective use of their data assets. A comprehensive data governance framework provides the necessary structure, policies, processes, and tools to manage data throughout its lifecycle, enabling organizations to leverage the full potential of ...

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Publisher Resources

ISBN: 9798868810237Purchase LinkPublisher Website