A Blend of Knowledge and Practice that is curated by highly-trained professionals to award you a guaranteed success in Identity with Microsoft Azure.
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Create an Azure Machine Learning workspace
Manage data in an Azure Machine Learning workspace
Manage compute for experiments in Azure Machine Learning
Implement security and access control in Azure Machine Learning
Set up an Azure Machine Learning development environment
Set up an Azure Databricks workspace
Create models by using the Azure Machine Learning designer
Run model training scripts
Generate metrics from an experiment run
Use Automated Machine Learning to create optimal models
Tune hyperparameters with Azure Machine Learning
Select compute for model deployment
Deploy a model as a service
Manage models in Azure Machine Learning
Create an Azure Machine Learning pipeline for batch inferencing
Publish an Azure Machine Learning designer pipeline as a web service
Implement pipelines by using the Azure Machine Learning SDK
Apply ML Ops practices
Use model explainers to interpret models
Describe fairness considerations for models
Describe privacy considerations for data
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