Language:
English
Pages:
1 online resource (1 video file, approximately 1 hr., 3 min.)
Edition:
1st edition
Keywords:
Electronic videos ; local
Abstract:
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
Note:
Online resource; Title from title screen (viewed February 4, 2021)
,
Mode of access: World Wide Web.
