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

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