AI Model Evaluation (MEAP 3) by Leemay Nassery (.ePUB)+

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File Size: 10 MB

AI Model Evaluation (MEAP 3) by Leemay Nassery
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Overview: De-risk AI models, validate real-world performance, and align output with product goals. Before you trust critical business systems to an AI model, you need to answer a few questions. Will it be fast enough? Will the system satisfy user expectations? Is it safe? Can you trust the output? This book will help you answer these questions and more before you roll out an AI system—and make sure it runs smoothly after you deploy. AI Model Evaluation teaches you how to effectively evaluate and assess Machine Learning models for better scaling and integration into production systems. Each chapter tackles a different evaluation method. You’ll start with offline evaluations, then move into live A/B tests, shadow traffic deployments, qualitative evaluations, and LLM-based feedback loops. You’ll learn how to evaluate both model behavior and engineering system performance, with a hands-on example grounded in a movie recommendation engine. For practitioners with experience in Machine Learning, Data Science, or software engineering. Familiarity with Python is recommended.
Genre: Non-Fiction > Tech & Devices

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