A lap around Azure Machine Learning services
summary
Azure Machine Learning services exposes a unified SDK plus CLI and portal integration that snapshots code, builds Docker images, logs runs and stores models in a registry; demos show training from notebooks or VS Code, registering a model, creating an image and deploying it to ACI or AKS successfully. The data prep SDK includes derive by example transformations and pipelines enable reproducible retraining. Automated ML runs dozens of algorithm+hyperparameter trials and returns the best model ready to deploy.
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chapters (11)
- 0:00Intro
- 1:00Azure Machine Learning Studio
- 2:17Azure Machine Learning Services
- 6:32Workspaces
- 12:02How it works
- 13:35Azure Portal
- 22:03Data Prep
- 25:57Deployment
- 27:40Model Registry
- 29:44AutoML
- 33:05AutoML Notebook
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