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OverviewThis book explores how senior machine learning engineers think, make decisions, and design real-world ML systems beyond models and algorithms. It focuses on mental models, tradeoffs, and failure modes that only appear in production, such as data drift, feedback loops, system reliability, monitoring, and ethical responsibility. Rather than teaching how to train models, the book explains how to frame problems correctly, evaluate impact, manage risk, and decide when machine learning should-or should not-be used. It is a practical guide to judgment, system thinking, and responsibility in modern machine learning engineering. Full Product DetailsAuthor: Abdelfattah RagabPublisher: tredition GmbH Imprint: tredition GmbH Dimensions: Width: 15.20cm , Height: 1.00cm , Length: 22.90cm Weight: 0.308kg ISBN: 9783384802170ISBN 10: 3384802179 Pages: 100 Publication Date: 15 January 2026 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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