This tutorial covers 10 lessons with a roadmap, we will start from the ground up and move step by step through AI ML concepts. Each lesson is kept simple so you can easily connect theory with practice.
- Introduction — Roadmap of AI/ML for C# Developers
- Lesson 1 (Theory) - What is AI and ML?
- Lesson 2 (Theory) - How Humans Learn? Features and Labels
- Lesson 3 (Theory) - Features, Labels, Algorithm, Training, Model (FLATM)
- Lesson 4 (Lab 1) - Understanding FLATM using simple Excel examples
- Lesson 5 (Theory) - Algorithm (Formula) vs Model
- Lesson 6 (Theory) - Understanding Regression
- Lesson 7 (Lab 2) - Simplest ML.NET Regression Code (Definition, MLContext & MKL Components)
- Lesson 8 (Lab 3) - Model is a Mathematical Formula
- Lesson 9 (Theory) - Inference vs Training
- Lesson 10 (Theory) - Roadmap for AI/ML
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