Machine Learning for .NET Folks (With or Without a Ph.D.) with Douglas Starnes

Sponsor:
NIS Technologies
http://www.nistechnologies.com

Synopsis:
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 and it will show how to leverage ML.NET from web and mobile projects.

Speaker:
Douglas Starnes is a polyglot ninja and tech community influencer in the Memphis area making stuff that works on more than just the web. He specializes in the fields of data science, machine learning and mobile application development. Douglas is a co-director of the Memphis Python User Group, the Memphis .NET User Group, Memphis Xamarin User Group and the Memphis Power Platform User Group as well as an organizer for Scenic City Summit and co-founder of TDevConf a virtual conference presented by the .NET user groups in Tennessee. He is a frequent conference speaker who has delivered more than 70 featured presentations and workshops at more than 35 conferences over the past 10 years in a variety of cities across the southeast United States. In addition, Douglas is an active participant in local user groups. He has also served as an organizer for PyTennessee, PyOhio and TechCampMemphis. Outside of being a geek Douglas is a trained composer and avid Lego collector. He holds a Bachelor of Music degree from the University of Memphis.

Due to the COVID-19 pandemic, this meetup will be held virtually. Please RSVP to get the URL.