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Machine Learning with ML.NET

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Machine Learning with ML.NET

  1. 1. Machine Learning with ML.NET https://www.youtube.com/@hosseinzahed 1 Hossein Zahed
  2. 2. AI vs. ML vs. DL https://www.youtube.com/@hosseinzahed 2
  3. 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#
  4. 4. ML.NET Runs Anywhere https://www.youtube.com/@hosseinzahed 4
  5. 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
  6. 6. ML.NET Components https://www.youtube.com/@hosseinzahed 6
  7. 7. ML.NET Pipeline https://www.youtube.com/@hosseinzahed 7 Problem Statement Definition Dataset Ingestion Feature Extraction Model Training Model Evaluation Consumption
  8. 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
  9. 9. https://www.youtube.com/@hosseinzahed 9 Thank you! https://youtube.com/@hosseinzahed

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