Download->Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps Writen By Valliappa Lakshmanan

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

By : Valliappa Lakshmanan

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

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Book Synopsis :

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. Authors Valliappa Lakshmanan, Sara Robinson, and Michael Munn catalog the first tried-and-proven methods to help engineers tackle problems that frequently crop up during the ML process. These design patterns codify the experience of hundreds of experts into advice you can easily follow.The authors, three Google Cloud engineers, describe 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the most appropriate remedy for your situation.You?ll learn how to:Identify and mitigate common challenges when training, evaluating, and deploying ML modelsRepresent data for different ML model types, including embeddings, feature crosses, and moreChoose the right model type for

Book Detail :

Author : Valliappa Lakshmanan

Pages : 400 pages

Publisher : O'Reilly Media

Language : eng

ISBN-10 : 1098115783

ISBN-13 : 9781098115784

 
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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