Machine Learning for .NET Developers

on YouTube ↗46m

" summary

Walks through using ML.NET and the Visual Studio ml.net model builder to create a sentiment classifier from a 250-line Wikipedia CSV, exporting a .zip model and generated console app. Uses AutoML to try multiple algorithms automatically, reporting the best model at ~72% accuracy (noted as too low for production; recommendation ≥90%). Demonstrates loading the .zip into a prediction engine, running a hard-coded prediction, and notes Azure/GPU training and MLOps retraining options.

AI-written summary · about

" chapters (8)

1. 0:00Introduction
2. 2:57AI ML and deep learning basics
3. 6:31Clean data in ML
4. 10:22ML.NET framework
5. 16:11Automated ML with Model Builder
6. 21:39Setting up Model Builder
7. 39:29Running the trained model
8. 44:14Q&A

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