Learn Azure ML (AutoML) in One Hour Video Course / Deza, Alfredo.
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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| Online Access: |
Streaming Video (via O'Reilly/Safari) |
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| Main Authors: | , |
| Corporate Author: | |
| Format: | Electronic Video |
| Language: | English |
| Published: |
Pragmatic AI Solutions,
2021.
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| Edition: | 1st edition. |
| Subjects: |
MARC
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| 520 | |a 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. | ||
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