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|a Deza, Alfredo
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| 245 |
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|a Learn Azure ML (AutoML) in One Hour Video Course
|c Deza, Alfredo
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| 250 |
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|a 1st edition
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| 260 |
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|b Pragmatic AI Solutions
|c 2021
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| 300 |
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|a 1 video file, approximately 1 hr., 3 min.
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|a Vidéo en continu
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|a Vidéos sur Internet
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|a Internet videos / http://id.loc.gov/authorities/subjects/sh2007001612
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|a streaming video / aat
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|a Streaming video / http://id.loc.gov/authorities/subjects/sh2005005237
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|a Gift, Noah
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Made available through: Safari, an O'Reilly Media Company
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|u https://learning.oreilly.com/videos/~/50104VIDEOPAIML/?ar
|x Verlag
|3 Volltext
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|a 000
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|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
|