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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Valliappa Lakshmanan, Sara Robinson, Michael Munn
Machine-Learning-Design.pdf
ISBN: 9781098115784 | 400 pages | 10 Mb
- 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, fb2, mobi
- ISBN: 9781098115784
- Publisher: O'Reilly Media, Incorporated
Free pdf ebook search and download Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps MOBI 9781098115784
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
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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 Lakshmanan, Valliappa
Machine Learning Design Patterns Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Lakshmanan, Valliappa. Heftet / 2020 /
Valliappa Lakshmanan: Kindle Store - Amazon.com
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. by Valliappa Lakshmanan , Sara
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book “Machine Learning Design Patterns”, covering solutions to common challenges in Data Preparation, Model Building, and MLOps.
Machine Learning Design Patterns Tickets, Wed, Nov 18
Design patterns capture best practices and solutions to recurring problems. Join us for the great talks and AMA, by the authors of the newly
Machine learning design patterns : solutions to common
Machine learning design patterns : solutions to common challenges in data preparation, model building, and MLOps. By: Lakshmanan
Machine Learning Design Patterns, Solutions to Common
Booktopia has Machine Learning Design Patterns, Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa
Online: ML Design Patterns and Designing ML Infrastructure
Designing, building, deploying, and scaling ML systems can be challenging. By utilizing design patterns, Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps 1st Edition.
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