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Dev Night - FREE event (ONLINE)
NOTICE: Due to the Coronavirus, we will be hosting the June meeting online. Dev night will kick off for everyone in the main Zoom
MAIN ZOOM LINK WILL BE SENT ON DAY OF EVENT
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Springfield Devs
Kuber-whaaa? - Learn to pronounce it etc.
Presented by: Adam Engebretson
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Kubernetes is changing the way we deploy software on-premise and in the cloud. Created by engineers at Google, Kubernetes is an open-source container-orchestration and operations control-plane. That's a bunch of fancy words to say "it runs your software." Let's take a look at how we can deploy a simple application in Kubernetes using Terraform (infrastructure as code) from start to finish!
References:
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Springfield Amazon Web Services (SGF AWS) User Group
Serverless ML: SAM, API Gateway, Lambda, and DynamoDB
Presented by: Andrew Rowell
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See full presentation details at https://www.meetup.com/sgfaws/events/270611134/
Hosted by Andrew Rowell, Software Development Engineer II at Expedia Group (https://www.linkedin.com/in/andrew-rowell-7372ba55/). Andrew is a Software Engineer with a history in back-end Java. He has developed software using Java, Amazon Web Services (AWS), Git, Scrum, and more. Andrew has a Bachelors of Science in Computer Science from Missouri State University and is pursuing a Masters of Science in Computer Science from Georgia Tech.
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Springfield .NET User Group
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)!
