[PDF] Machine Learning Design Patterns:

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

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

Free download ebooks in jar format Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

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 Engineering: Burkov, Andriy - Amazon.com
Machine Learning Engineering Paperback – September 5, 2020. by Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps · Valliappa LakshmananValliappa Lakshmanan. Valliappa Lakshmanan - Machine Learning Design Patterns
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps, Paperback - The design patterns in this book capture best practices and  Machine Learning Design Patterns : Solutions to Common
Buy Machine Learning Design Patterns : Solutions to Common Challenges in Data Preparation, Model Building, and Mlops (Paperback) at  Machine Learning Design - Amazon.es:Opiniones de clientes
de Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps en Amazon.com. Lea reseñas de  ONLINE EROFLUEDEN// Machine Learning - SlideShare
ONLINE EROFLUEDEN// Machine Learning Design Patterns: 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 /  Machine Learning Design Patterns: Solutions to Common
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps è un libro di Valliappa 

Download more ebooks:
[PDF/Kindle] EL HOMBRE INACABADO Y OTROS CUENTOS descargar gratis
DOWNLOADS The Miracles of the Namiya General Store
[download pdf] La chance de leur vie