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Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance
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Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance : Theory and Practices

2025 ed.

Book Details

Format Hardback or Cased Book
ISBN-10 9819796210
ISBN-13 9789819796212
Edition 2025 ed.
Publisher Springer Verlag, Singapore
Imprint Springer Nature
Country of Manufacture GB
Country of Publication GB
Publication Date Dec 23rd, 2024
Print length 164 Pages
Product Classification: Artificial intelligenceMachine learning
Ksh 27,000.00
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This book explores intricate world of data classification with 'Multi-Objective, Multi-Class, and Multi-Label Data Classification.' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks.

This book explores intricate world of data classification with ''Multi-Objective, Multi-Class, and Multi-Label Data Classification.'' This book studies sophisticated methods and strategies for working with complicated data sets, tackling the difficulties of various classes, many objectives, and complicated labelling tasks. This resource fosters a deeper grasp of multi-dimensional data analysis in today''s data-driven world by providing readers with the skills and insights needed to navigate the subtleties of modern classification jobs, from algorithmic techniques to practical applications.


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