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Introducing MLOps

英文图书, 软件  暂无评论 ⁄ 4 次阅读+
Book Description: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can’t provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to d...
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Beginning MLOps with MLFlow

人工智能, 英文图书, 软件  暂无评论 ⁄ 33 次阅读+
Description:Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. ​This book guides you through the process of data analysis, model construction, and training. The authors begin by introducing you to basic data analysis on a credit card data set and teach you how to analyze the features and their relationships to the target variable. You will learn how t...
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Machine Learning Design Patterns

人工智能, 英文图书, 软件  暂无评论 ⁄ 251 次阅读+
Book Description: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 representat...
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