tl;dr: Azure Machine Learning + Visual Studio + Python Flask + GitHub + Azure = A Live Custom ML Model for You!The Python Tools for Visual Studio extension isn't available, however, on VS 2017 so I'm eagerly awaiting this capability. Will report back later.
Machine Learning in the Cloud with Azure ML Francesca highlights how Azure Machine Learning simplifies building and deploying ML solutions at scale. The platform provides managed services for model training, versioning, and automated pipelines...
Machine Learning Studio makes it easy to set up an experiment using drag-and-drop modules preprogrammed with predictive modeling techniques. Using an interactive, visual workspace, you drag-and-drop datasets and analysis modules onto an interactive canvas.
Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
Fabric Machine Learning Python.This post walks through the process of moving desktop-based Anaconda/Jupyter machine learning notebooks to Microsoft Fabric Synapse Data Science. The post illustrates the process and includes an embedded video demo.
As we can see from the illustration, Python Azure Machine Learning Data Reporting has many fascinating aspects to explore.
Learn to install and license the CData Python Connector and configure a connection to live Azure DevOps data.Python Connector Libraries for Azure DevOps Data Connectivity. Integrate Azure DevOps with popular Python tools like Pandas, SQLAlchemy, Dash & petl.
Data Science.Note: You do not need to install jupyter into the Python environment you want to use. Only the IPyKernel package is required to launch a Python process as a kernel and execute code against your notebook (pip install ipykernel). Visit the Jupyter extension wiki to learn more.
