ML.NET (Microsoft.ML) - 01: Introduction to ML.NET in C#

Saturday, June 6, 2026 | 2 views

What is ML?

ML stands for Machine Learning, a field within Artificial Intelligence that focuses on teaching computers to learn from data instead of being explicitly programmed step by step.

Types of machine learning

1.Supervised learning : Learns from labeled data (e.g., “this is a cat,” “this is not”)

2.Unsupervised learning : Finds patterns without labels (e.g., grouping similar customers)

3.Reinforcement learning : Learns by trial and error using rewards (like training a game-playing AI)

ML.NET is an open-source machine learning framework for .NET developers. It allows you to build, train, evaluate, and deploy machine learning models directly in C# or F# without needing Python.

It is developed by Microsoft and integrates with the .NET ecosystem, including ASP.NET, desktop apps, cloud services, and game development.

Key features include:

1.Model training in C# using familiar .NET APIs

2.Classification, regression, recommendation, clustering, and anomaly detection

3.Deep learning integration with TensorFlow and ONNX models

4.Cross-platform support for Windows, Linux, and macOS

5.Local inference without requiring external ML server

Workflow in ML.NET:

1.Load data

2.Prepare and transform data

3.Train a model

4.Evaluate accuracy