Machine Learning - An Introduction to ML.NET
Details
This meeting is hosted on the monthly dev night. Learn more at Springfield Devs Meetup (https://meetup.com/sgfdevs/).
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Machine Learning - An Introduction to ML.NET
Presented by: Alexander Slotte
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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 will be introducing 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’ll introduce some fundamental ML concepts and terms before transitioning into the world of ML.NET and building our first model from scratch.
Beware, there will be live coding!
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 has 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 co-founder and organizer of The Virtual ML.NET Community Conference and the organizer of the .NET DC User Group. 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 or tune into one of his live streams on Twitch (https://www.twitch.tv/alexslotte)!
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Agenda
6:30pm Community Announcements
6:45pm Breakout into session rooms
7:00pm Presentations start
8:15pm Q&A
There is no charge to attend.
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