[PDF/Kindle] Machine Learning Design Patterns:
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
Free downloads spanish books Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa Lakshmanan, Sara Robinson, Michael Munn English version PDB 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
Michael Munn - Enterprise Applications - Amazon.com
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. by Valliappa Lakshmanan , Sara
Machine Learning Design Patterns: Solutions to Common
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and Mlops (Paperback). Machine
Machine Learning Design Patterns: Solutions to Common
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. 408. by Valliappa
visenger/awesome-mlops: A curated list of references - GitHub
An awesome list of references for MLOps - Machine Learning Operations MLOps: Data Engineering (DataOps), MLOps: Model Deployment and Serving common problems observed in industry on developing machine learning pipelines. an overview of the key engineering challenges surrounding ML solutions and an
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 (part 1): author talk | Meetup
This book provides clear solutions to common challenges in data preparation, model building and MLOps. Wouldn't it be great if we can make learning a bit more
ISBN 9781098115784 - Machine Learning Design Patterns
Find 9781098115784 Machine Learning Design Patterns : Solutions to Common Challenges in Data Preparation, Model Building, and MLOps by Valliappa
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.
Amazon.in:Customer reviews: Machine Learning Design
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. byValliappa Lakshmanan.
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Machine Learning Design Patterns Solutions to Common Challenges in Data Preparation, Model Building, and MLOps. Auteur: Valliappa Lakshmanan.
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