Some of the new enhancements included the following
are now more appropriately named
. They function just like the libraries you are used to, but we’ve made it easier to create and maintain your content.
A great example of a Project is the AzureML Project,
Azure Notebooks integration with Azure Machine Learning workspaces
The team have integrated the
Azure Machine Learning Service
with Azure Notebooks by making the Azure Machine Learning SDK available to all code running in the Python 3.6 kernel. This, combined with Azure Subscription support, makes it easy for data scientists to train and optimize machine learning models using the rich set of compute resources available on Azure, and deploy them to Azure for inferencing.