Posted on June 2020 By Michael Collins
In the third instalment of iO .Net Virtual Meetups, Microsoft MVP and Managing Consultant at Excella Alexander Slotte presents ‘Machine Learning; an introduction to ML.NET’.
It’s no exaggeration to say that Machine Learning (ML) is quickly changing the way we live. Things we are accustomed to today are things we could only dream of 10 years ago. As ML is becoming more and more mainstream, you may be asking yourself how to get started.
Historically, many of the tools and libraries used to train a model have been found in the Python and R communities (e.g. Scikit Learn, PyTorch, TensorFlow), but what if you’re a .NET Developer?
This session introduces ML.NET! ML.NET is an open-source, cross-platform machine learning library, specifically built to enable .NET developers to train their own custom machine learning models in C# or F#.
In this session we introduce some fundamental ML concepts and terms before transitioning into the world of ML.NET and building our first model from scratch.
Beware, there is live coding!
You can view the full Virtual Meetup below:
About Alexander Slotte
Alexander is a Microsoft MVP, and a Managing Consultant and .NET Xpert at Excella, based out of Washington DC. He is an international speaker, and have spoken at conferences such as NDC London, ProgNET, Big Data Europe, .NET Jetbrains Global Online Day, Beer City Code, Music City Tech, Code PaLOUsa, Code On The Beach and Philly.NET. He's the organizer of the .NET DC User Group and a member of the .NET Foundation. He is passionate about .NET and cloud architecture, and constantly attempts to push his knowledge on data science and machine learning. When not coding, you'll find him out running or enjoying a good IPA! Say hi on Twitter @alexslotte!
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