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Machine Learning for .NET
developers
Veronika Kolesnikova
Veronika Kolesnikova
• 3x Microsoft MVP AI
• MS in Information Technology
• 3.5 years QA Experience
• 7+ years development experience
• C#, .NET, ML, Xamarin, Java, Node.js
• Hobbies: dancing, travelling, aerial yoga
ML.NET
ML.NET allows you to train,
build and ship custom machine
learning models using C# or F#
for scenarios such as sentiment
analysis, issue
classification, forecasting,
recommendations and more.
github.com/dotnet/machinelearning
AutoML
and
ML.NET
Model
Builder
AutoML covers the complete pipeline from the raw
dataset to the deployable machine learning model
Model Builder uses AutoML
UI in Visual Studio and CLI
Scenarios: Text Classification, Value Prediction, Image
Classification, Recommendation, Object Detection
Limited scenarios: Anomaly Detection, Forecasting,
Clustering
Demo
Thanks for joining!

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Kolesnikova_Machine_Learning_for_.NET_developers.pptx

  • 1.
  • 2. Machine Learning for .NET developers Veronika Kolesnikova
  • 3. Veronika Kolesnikova • 3x Microsoft MVP AI • MS in Information Technology • 3.5 years QA Experience • 7+ years development experience • C#, .NET, ML, Xamarin, Java, Node.js • Hobbies: dancing, travelling, aerial yoga
  • 4. ML.NET ML.NET allows you to train, build and ship custom machine learning models using C# or F# for scenarios such as sentiment analysis, issue classification, forecasting, recommendations and more. github.com/dotnet/machinelearning
  • 5. AutoML and ML.NET Model Builder AutoML covers the complete pipeline from the raw dataset to the deployable machine learning model Model Builder uses AutoML UI in Visual Studio and CLI Scenarios: Text Classification, Value Prediction, Image Classification, Recommendation, Object Detection Limited scenarios: Anomaly Detection, Forecasting, Clustering

Editor's Notes

  1. ***NOTE: Use this template for any text slides that appear in the presentation of the video. DO NOT use this template for any title cards.