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Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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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. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.
In this book, you will find detailed explanations of 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 best technique for your situation.
Detalles del producto
Editorial : O'Reilly Media; 1er edición (24 Noviembre 2020)
Idioma : Inglés
Tapa blanda : 405 páginas
ISBN-10 : 1098115783
ISBN-13 : 978-1098115784
Dimensiones : 9.06 x 0.94 x 6.85 pulgadas
Clasificación en los más vendidos de Amazon: nº69,390 en Libros (Ver el Top 100 en Libros)
nº7 en Teoría de Máquinas
nº11 en Herramientas de Inteligencia de Negocios
nº149 en Inteligencia Artificial y Semántica (Libros)
Opiniones de clientes: 4.6
362 calificaciones

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