I continue a series on getting beyond the basics with Azure ML. First up, we get up close and personal in development:
Notebooks are great for ad hoc work or simple data analysis but we will want more robust tools if we wish to perform proper code development, testing, and deployment. This is where Visual Studio Code comes into play, particularly the Azure Machine Learning extension.
Then, I get into the Python SDK:
Over the past two posts, we have started using the Azure Machine Learning SDK for Python but I’ve only touched on the topic. In this post, we are going to dive into the topic.
Read on for more info on each.