“Thanks to ML.NET, we can build custom Machine Learning models with C#. We can then inject these ML models into Azure Functions to build some cool Serverless Machine Learning applications!
649Articles
“The data platform environment is exploding so quickly and as a data platform professional how can you be productive and able to support your environments easily? In this session Warwick
Data preparation is a lengthy and complicated process in a modern data warehouse solution. Microsoft recently released wrangling data flows for Azure Data Factory, which greatly eases this process with
Deploying models is a pretty important aspect to consider while building end-to-end ML applications. I first plan to show how the models could be registered with Azure ML so as
“You spend hours working on visuals including slicers and filters to give your management a fully dynamic report to answer their every question, and your heart sinks as they ask
Top Headlines
Support The Site
