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OverviewFull Product DetailsAuthor: Michael HsiehPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781801070157ISBN 10: 1801070156 Pages: 326 Publication Date: 28 February 2022 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Machine Learning and Its Life Cycle in the Cloud Introducing Amazon SageMaker Studio Data Preparation with SageMaker Data Wrangler Building a Feature Repository with SageMaker Feature Store Building and Training ML Models with SageMaker Studio IDE Detecting ML Bias and Explaining Models with SageMaker Clarify Hosting ML Models in the Cloud: Best Practices Jumpstarting ML with SageMaker JumpStart and Autopilot Training ML Models at Scale in SageMaker Studio Monitoring ML Models in Production with SageMaker Model Monitor Operationalize ML Projects with SageMaker Projects, Pipelines and Model RegistryReviewsAuthor InformationMichael Hsieh is a senior AI/machine learning (ML) solutions architect at Amazon Web Services. He creates and evangelizes for ML solutions centered around Amazon SageMaker. He also works with enterprise customers to advance their ML journeys. Prior to working at AWS, Michael was an advanced analytic consultant creating ML solutions and enterprise-level ML strategies at Slalom Consulting in Philadelphia, PA. Prior to consulting, he was a data scientist at the University of Pennsylvania Health System, focusing on personalized medicine and ML research. Michael has two master's degrees, one in applied physics and one in robotics. Originally from Taipei, Taiwan, Michael currently lives in Sammamish, WA, but still roots for the Philadelphia Eagles. Tab Content 6Author Website:Countries AvailableAll regions |