Book Content
chapters • 9h52m total length
1. Getting started with Machine Learning and ML.NET
2. Setting up the ML.NET environment
3. Regression Model
4. Classification Model
5. Clustering Model
6. Anomaly Detection Model
7. Matrix Factorization Model
8. Using ML.NET with .NET Core and Forecasting
9. Using ML.NET with ASP.NET
10. Using ML.NET with UWP
11. Training and Building Production Models
12. Using Tensorflow with ML.NET
13. Using ONNX with ML.NET
