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Learn Azure ML (AutoML) in One Hour Video Course /

Get started with Machine Learning and Auto ML using Azure ML Studio easily building powerful models and deploy them in a scalable environment. Everything you need to know to get up and running quickly in Machine Learning using Azure, from datasets to containerized deployments and data validation. To...

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Detalles Bibliográficos
Autores principales: Deza, Alfredo (Autor), Gift, Noah (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico Video
Idioma:Inglés
Publicado: Pragmatic AI Solutions, 2021.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Get started with Machine Learning and Auto ML using Azure ML Studio easily building powerful models and deploy them in a scalable environment. Everything you need to know to get up and running quickly in Machine Learning using Azure, from datasets to containerized deployments and data validation. Topics include: * An introduction to Azure ML Studio and AutoML * Import datasets and version them within Azure - even from remote locations like Github * Create compute clusters for training and live inferencing * Select models for deployment into Kubernetes or Docker Container instances * Practice MLOps, operationalizing a deployed model with logs and metrics via Application Insights * Consume a live endpoint with a deployed model over an HTTP API * Use the generated Swagger files to grasp the HTTP endpoints.
Descripción Física:1 online resource (1 video file, approximately 1 hr., 3 min.)