Kód: 50543368
This 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 productio ... celý popis
Angličtina
Nákupem získáte 72 bodů
Anotace knihy
This 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.
Parametry knihy
Zařazení knihy Knihy v angličtině Computing & information technology Computer programming / software development Web programming
715 Kč
AngličtinaOsobní odběr Praha, Brno a 46566 dalších
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