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lakshmanan v machine learning design pattern 2020

Type:: E-books
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Size:: 4.4 MB
Uploaded On:: June 25, 2020, 9:24 a.m.
Added By:: andryold1
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Info Hash:: D23BAEB9B5E8C8B12DB0E1C0EB0CB5E61517F708

Textbook in PDF format 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

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Lakshmanan V. Machine Learning Design Pattern 2020.pdf 4.4 MB

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lakshmanan v machine learning design pattern 2020

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