Let’s explore what a sample usage of the Azure ML Python SDK looks like and how you can use Python and Azure Machine Learning Studio to track and version datasets and machine learning models, discover new models that perform well with your data, evaluate those models, and deploy them as a web service - all without having to leave your IDE.
How to create, retrieve, and delete compute instances and clusters using the Azure ML Python SDK
Let’s explore the capabilities of compute instances, compute clusters, inference clusters, attached computes, local compute, Azure Container Instances, and Azure Kubernetes Service.
Let’s investigate confusion matrixes in classification experiments and the metrics behind them.
In this article we’ll explore the common metrics you’ll see evaluating the performance of a trained machine learning model for a regression task.