Data Management for the AI Era: Ensuring Reliability and Accountability : IFIP WG 2.6, Invited Selection
Book Details
Format
Hardback or Cased Book
ISBN-10
3032243904
ISBN-13
9783032243904
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 22nd, 2026
Ksh 19,800.00
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Aimed at masters students, postgraduate trainees, and professionals, this book guides readers through essential components of the data management process, including data collection and preprocessing, ensuring data quality, and establishing effective training and finetuning procedures for AI applications.
This book provides a comprehensive and up-to-date exploration of data management practices tailored to the needs and challenges of AI technologies. Aimed at masters students, postgraduate trainees, and professionals, this book guides readers through essential components of the data management process, including data collection and preprocessing, ensuring data quality, and establishing effective training and finetuning procedures for AI applications. It also covers AI output validation, compliance measures, and risk mitigation strategies to improve data usability and reliability.
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