The subject of this book centres around trustworthy machine learning under imperfect data. For practitioners in the industry, this book will present state-of-the-art trustworthy machine learning methods to help them solve real-world problems in different scenarios, such as online recommendation and web search.
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The subject of this book centres around trustworthy machine learning under imperfect data. For practitioners in the industry, this book will present state-of-the-art trustworthy machine learning methods to help them solve real-world problems in different scenarios, such as online recommendation and web search.
Read Less
Add this copy of Trustworthy Machine Learning under Imperfect Data to cart. $169.08, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Springer Nature Switzerland AG.
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New. Contains: Illustrations, black & white, Illustrations, color. VIII, 292 p. 92 illus., 90 illus. in color. Intended for professional and scholarly audience.
