Machine Learning in C#?! Introduction to ML.NET

If you're a .NET developer, you may be forgiven for thinking that in order to build awesome machine learning applications, you'll need to brush up on your Python skills in order to use ML libraries, or even worse, buy food for that data scientist in your team until they've built an ML model for you.

With the release of ML.NET, this is no longer the case!

In this session, I'll cover what ML.NET is and how you can use it to add machine learning capabilities to your .NET applications. I'll cover the capabilities that the API offers in terms of preparing our data and evaluating our models. I'll also talk about the capabilities that the ML.NET Model builder and how that can simplify how we choose what type of model we want to build and I'll also talk about how we can deploy our models into production.

So ditch that data scientist (in a nice way of course) and come and see how you can leverage your existing .NET skills to use ML.NET to build some interesting machine learning applications!

About your speaker:
Will Velida
I'm a Software Engineer based in Auckland, New Zealand and a Data Platform MVP. I spend my time attempting to build cool things in .NET and Azure. I have a particular focus on Azure Cosmos DB and Azure Functions. I also like to play around with ML.NET and Spark on .NET.

I have spoken at conferences in a variety of different countries across the world, speaking on topics such as Azure Cosmos DB, Azure Functions and Azure Databricks.

I also blog regularly on platforms such as Medium and DEV.to.

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