Getting practical with ML.NET

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This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Community Hub.

In the near future, every application on every platform will incorporate some form of machine learning capabilities, empowering the application itself and making it smarter.

In this new Microsoft Reactor series, you'll learn how the ML.NET framework has been designed to democratize the art of machine learning, converting it into a technology available to all developers around the globe.



You'll also see practical examples of how you can implement a solution in the ML.NET framework, using a real-world scenario.




Who is it aimed at?
This series is for students, early career and professionals who are interested in setting themselves up to build smart apps using ML.NET. 

.NET developers, ML enthusiasts and beginners in both tech domains are very welcome.

Why should you attend?
If you think of yourself as a developer or an aspiring software engineer, you might see machine learning as a separate art, practiced by an elite of data scientists and statisticians, and you might be uncertain about how it fits into application development.
Attend this live series if you wish to find an answer to your doubts.

Series schedule

EP1:  Getting started with ML.NET 1st Dec 4:30 PM GMT

This session is aimed at introducing you to what is ML.NET and how it is different from the many different frameworks for machine learning there are. We will also be setting up the environment to be ready to develop a new project in this framework!


EP2: Text Classification with Model Builder 7th Dec 4:30 PM GMT

This session is an introduction to building a text classification model with Model Builder in ML.NET, able to classify if a news is fake or not.

EP3: Deploying and Consuming ML Models 15th Dec 7:00 PM GMT

The session is aimed at showing you how to deploy and consume a text classification ML model into a web application.




Speaker bio's
Carlotta Castelluccio, Cloud Advocate Microsoft
Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities to create and grow with Azure Cloud, by contributing to technical learning content and supporting students and educators in their learning journey with Microsoft technologies. Before joining the Cloud Advocacy team, she worked as an Azure and AI (ARTIFICIAL INTELLIGENCE) consultant in Microsoft Industry Solutions team.


Connect with Carlotta

Liam Hampton, Regional Cloud Advocate, Microsoft
Liam is a Regional Cloud Advocate at Microsoft. He is an IoT hobbyist, a podcast co-host and a Software Engineer with multiple Professional Cloud Certifications. He is passionate about cloud computing, clean code and creating simple and concise content for others. When he is not writing code or presenting, you'll either find him searching for the next best eatery in London, studying different cultures or at the airport jetting of to explore the next city on his TODO list.

Connect with Liam

Want to learn more about ML.NET?

What is ML.NET and how does it work? - ML.NET | Microsoft Learn

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