Machine Learning Design Patterns - Valliappa Lakshmanan

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The design patterns in this book capture best practices and solutions to recurring problems in machine learning. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 30 pa… Celý popis ↓

AutorValliappa Lakshmanan
Počet strán400
Rok vydania2020

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Machine Learning Design Patterns - Valliappa Lakshmanan

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. 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. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process.

Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique 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,

Machine Learning Design Patterns - Valliappa Lakshmanan patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

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Autor
Valliappa Lakshmanan
Počet strán
400
Rok vydania
2020

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