Machine Learning for .NET developers

on YouTube ↗56m

" summary

Demonstration shows .NET developers building a custom taxi-fare regressor with ML.NET Model Builder and AutoML, exploring 13 candidate trainers in about 10 seconds and choosing LightGBM regression with R² ≈ 0.94. Workflow produces an mml model.zip, loads it with a PredictionEngine, and predicts 13.1 vs actual 13.5 on a held-out case. Also compares pre-built Azure Cognitive Services image APIs (correctly tags a sofa/chair and person) and explains when to use pre-built versus custom models.

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" chapters (13)

1. 0:00Start
2. 2:56Al and ML in everyday life
3. 3:33How you can use ML
4. 6:17Where do I get the model?
5. 11:13When pre-built ML works
6. 11:52When it doesn't
7. 22:59ML dictionary
8. 29:01ML.NET Tooling to help you with making decisions
9. 30:18ML.NET takes care of data prep, feature selection & hyperparameter tuning
10. 42:24Creating ML model
11. 42:59Building model
12. 44:18Training model
13. 45:05Consuming model

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