{
"item_title" : "Senior Machine Learning Mental Models",
"item_author" : [" Abdelfattah Ragab "],
"item_description" : "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.",
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Senior Machine Learning Mental Models : How Experienced Engineers Think, Make Tradeoffs, and Design Real-World ML Systems
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783384802163
- ISBN-10: 3384802160
- Publisher: Tredition Gmbh
- Publish Date: January 2026
- Dimensions: 8.27 x 5.83 x 0.24 inches
- Shipping Weight: 0.28 pounds
- Page Count: 100
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