Session

David vs Goliath | Machine Learning in ML.NET (C#) and Scikit Learn (Python)

Machine Learning, Deep Learning, AI. New breakthroughs are made every day, continuously pushing the frontier forward. For years, Python and R have been the go-to languages to train machine learning models in. Can an object-oriented language such as C# really compete in this environment? Yes, it sure can!

In this workshop, attendees will receive hands-on experience in training custom machine learning models to detect fraudulent transactions in both C# and Python.

To demonstrate the similarities and differences, the same model will be trained using:
• ML.NET in a Jupyter Notebook and Visual Studio Code
• Scikit Learn in a Jupyter Notebook

Attendees will leave the workshop with a thorough understanding of fundamental machine learning concepts and terminology.

Prerequisites
Although it is fully possible just to follow along, please make sure to bring the following if you would like to participate in the workshop:
• A laptop
• Jupyter Notebooks (e.g. via Anaconda)
• Visual Studio Code

Link to workshop material: https://github.com/aslotte/mldotnet-real-time-data-streaming-workshop

Alexander Slotte

Microsoft MVP and Managing Consultant at Excella

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