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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan, Sara Robinson, Michael Munn

• Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
• Valliappa Lakshmanan, Sara Robinson, Michael Munn
• Page: 400
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781098115784
• Publisher: O'Reilly Media, Incorporated

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Download best free ebooks Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (English Edition) by Valliappa Lakshmanan, Sara Robinson, Michael Munn iBook MOBI RTF

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 models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure that models are treating users fairly

Machine Learning Design Patterns: Solutions To Common
Machine Learning Design Patterns: Solutions To Common Challenges In Data Preparation, Model Building, And Mlops 
Machine Learning Design Patterns, online, 26 January 2021
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Design patterns capture best practices and solutions to 
Machine Learning Design Patterns - Free Download : PDF
Book Machine Learning Design Patterns : Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan, Sara 
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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. byValliappa Lakshmanan.
Machine Learning Design Patterns by Google AI | Meetup
book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps.
Machine Learning Design Patterns by Google AI | Meetup
book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps.
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Lakshmanan Valliappa, Robinson Sara, Munn Michael
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps [Code Files].

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