Machine Learning with .NET
WARNING!
This presentation is now obsolete. The information in this talk has not been updated in a while and could be outdated. Use the information in this presentation at your own risk and be sure to double-check things to ensure that any information you use is accurate.ABSTRACT
Data science and machine learning are hot topics, but not everybody can drop everything and jump over to the R or Python ecosystems. If you work in a .NET shop, you likely have years of accumulated code and systems which your customers already use, and you might not be able to move to a microservices architecture for integrating code written in other languages. Making a clean break may be out of the question, but we can still use familiar languages and techniques to introduce data science and machine learning to the workplace. In this talk, we will build machine learning models within C# using the ML.NET library. We will show where this library do well and where it falls short.ADDITIONAL MEDIA
No recordings or additional media are available for this talk.SLIDES
Click here to access the slides for this presentation.
The slides are licensed under Creative Commons Attribution-ShareAlike.
DEMO CODE
Click here to access demo code for this presentation.
The source code is licensed under the terms offered by the GPL.