1.
Machine Learning
with ML.NET
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Hossein Zahed

2.
AI vs. ML vs. DL
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3.
What is ML.NET?
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• 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.
ML.NET Runs Anywhere
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5.
ML.NET Supported Scenarios
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Tabular
• Data classification
• Value prediction
• Recommendation
• Forecasting
Computer Vision
• Image classification
• Object detection
Natural Language Processing
• Text classification

6.
ML.NET Components
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7.
ML.NET Pipeline
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Problem
Statement
Definition
Dataset
Ingestion
Feature
Extraction
Model
Training
Model
Evaluation
Consumption

8.
Classification (Sentiment Analysis) Example
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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.
https://www.youtube.com/@hosseinzahed 9
Thank you!
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