Memphis .NET User Group

Machine Learning for .NET Folks Without (or With!) a Ph.D.
The modern world has already been impacted by machine learning and will continue to be impacted even more. It is critical that more software developers have access to this skill. With ML.NET, .NET developers are not left out! ML.NET is an open-source and cross platform framework to train custom machine learning models, utilize pre-trained models, including those from TensorFlow in .NET applications for screens of all shapes and sizes. Built on the successful experience of products such as Power BI and Outlook, ML.NET can be applied to a variety of predictive analytics scenarios with just a few lines of C# or F# code. This session will explore the fundamentals of ML.NET and several common machine learning tasks. It will also cover integrating pre-trained models from ML.NET and TensorFlow. And it will show how to leverage ML.NET from web and mobile projects.
Douglas Starnes is a tech author and Microsoft Most Valuable Professional in developer technologies in Memphis, TN. He is published on Pluralsight, Real Python and SkillShare. Douglas is co-director of the Memphis Python User Group, Memphis .NET User Group, Memphis Xamarin User Group and Memphis Power Platform User Group. He is also on the organizing committees of Scenic City Summit in Chattanooga, and TDevConf, a virtual conference in the state of Tennessee. A frequent conference and user group speaker, Douglas has delivered more than 70 featured presentations and workshops at more than 35 events over the past 10 years. He holds a Bachelor of Music degree with an emphasis on Music Composition from the University of Memphis.