Andy Cross

Machine Learning with ML.NET and Azure Data Lake

ML.NET is an open source, machine learning framework built in .NET and runs on Windows, Linux and macOS. It allows developers to integrate custom machine learning into their applications without any prior expertise in developing or tuning machine learning models. Enhance your .NET apps with sentiment analysis, price prediction, fraud detection and more using custom models built with ML.NET

In this Session, Andy will show not only the core of ML.NET but best practices around Azure Data Lake and data in general when using .NET

Andy Cross

Elastacloud Director, Microsoft Regional Director, Azure MVP, AI Entrepreneur

Andy Cross is a co-founder of Elastacloud. An international speaker, Andy has lead teams building the largest AI projects and deployments, hosted on Azure. His passion for embedded software and high performance compute clusters gives him a unique insight into a sphere of computation from the very small and resource constrained to the massively scalable, limitless potential of the cloud. He is an Azure Insider, co-founder of the UK London Azure User Group, an Azure Most Valuable Professional and a Microsoft Regional Director. You can tweet Andy at @andyelastacloud

Andy's full speaker profile