Notebooks & .NET: A Marriage Made In Jupyter

As a .NET developer, do you find yourself at a crossroads when venturing into the world of machine learning and AI? Find yourself reaching for notebooks and scripts in another language? For at least the last decade, Python has been the language of choice for data scientists and machine learning engineers everywhere, thanks to the wonderful world of Jupyter Notebooks. It’s been pretty rare to find an ML pipeline using .NET in the wild, especially since the limited support within cloud services like AWS Sagemaker. In the last few years however, .NET finally caught up to the world of notebooks, in fact it might even be starting to overtake it. In this session we’ll examine how .NET notebooks work, how you can use them as part of your codebase, and how to build modern day ML pipelines in the cloud entirely in .NET!