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.
No recordings or additional media are available for this talk.