“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!
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“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
During my session, I will show what are the benefits of Azure Identity Governance implementation including Entitlement Management, Access Reviews, Privileged Identity Management source
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