Fairness in Machine Learning: From Theory to Regulation - SpringerBriefs in Intelligent Systems - Charlotte Laclau - Books - Springer Nature Switzerland AG - 9783032337504 - February 24, 2027
In case cover and title do not match, the title is correct

Charlotte Laclau
Fairness in Machine Learning: From Theory to Regulation - SpringerBriefs in Intelligent Systems

Price
R 893
excl. VAT
Expected delivery Mar 4 - 9, 2027
Christmas presents can be returned until 31 January
Get notified about new Charlotte Laclau releases

Our customers say:

14-day return policy in accordance with European consumer protection law
Top ranking on Trustpilot
Add to your iMusic wish list

This book fills that gap, offering a structured and balanced examination of fairness in ML that covers conceptual definitions, fairness-aware algorithms, trade-offs, open challenges, and the regulatory landscape, with clarity on how fairness is measured and the tensions between different fairness criteria.

Media Books     Paperback Book   (Book with soft cover and glued back)
To be released February 24, 2027
ISBN13 9783032337504
Publishers Springer Nature Switzerland AG
Pages 149
Dimensions 150 × 220 × 10 mm   ·   302 g   (Weight (estimated))

More from the same publisher

See all of Charlotte Laclau