Subtitle A Beginner's Guide with Ethical Insights. Mathematics for Machine Learning 3. Data Preparation 4. Machine Learning Operations 5. Responsible AI and Explainable AI 7. Machine Learning Step-by-Step Practical Examples.
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ISBN-13: 9781800615021, 978-1800615021.
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New, unread book. Not previously owned.
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Author: Hein Smith. Title: Machine Learning. Subtitle: The Absolute Beginner's Guide To Learn And Understand Machine Learning Effectively. Release Date: 29/06/2018. Format: Paperback. Type: Paperback.
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Practical Machine Learning: A New Look at AnomalyAuthor: Ellen, M.D. Friedman.
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Practical Machine Learning Engineering. Machine learning is no longer just about building models-it's about building systems. The book features real-world best practices, actionable patterns, and field-tested architectures used across modern AI-driven organizations.
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ISBN-13: 9781107422223, 978-1107422223. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles.
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ISBN-13: 9780367634537, 978-0367634537. It does not use complicated mathematics to explain how to benefit from ML algorithms. Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios.
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