Machine Learning with ML.NET
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ML.NET is an open-source machine learning framework developed by Microsoft that supports C# and F# and runs anywhere. It can be used for tasks like classification, regression, recommendation, and forecasting on tabular, text, and image data. The ML.NET pipeline involves defining a problem, ingesting and preparing data, training and evaluating models, and consuming the models.
Machine Learning with ML.NET
- 1. Machine Learning with ML.NET https://www.youtube.com/@hosseinzahed 1 Hossein Zahed
- 2. AI vs. ML vs. DL https://www.youtube.com/@hosseinzahed 2
- 3. What is ML.NET? https://www.youtube.com/@hosseinzahed 3 It is an open-source and cross-platform machine learning framework developed by Microsoft First released in May 2018 Part of DotNet family Supports C# and F#
- 5. ML.NET Supported Scenarios https://www.youtube.com/@hosseinzahed 5 Tabular Data classification Value prediction Recommendation Forecasting Computer Vision Image classification Object detection Natural Language Processing Text classification
- 8. Classification (Sentiment Analysis) Example https://www.youtube.com/@hosseinzahed 8 1. Download a dataset 2. Cleanse the dataset 3. Create a Console App 4. Add ML.NET extension 5. Define model details 6. Train and evaluate model 7. Consume and test