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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and Mlops

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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps - Lakshmanan, Valliappa, and Robinson, Sara, and Munn, Michael
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The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, ...

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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps 2020, O'Reilly Media

ISBN-13: 9781098115784

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