u/questpond123

One of the biggest pain points for C# developers getting started with AI/ML is that they first need to learn Python and then learn the concepts of AI/ML.

But if AI/ML concepts are first taught using C#, and then later mapped to Python, the learning curve becomes much easier and more practical.

Also, many people think Python is mandatory for AI/ML. The reality is that you can leverage languages like C# and Java very effectively to build AI solutions.

In this video series, we will go through the following lessons with both theory and practical demonstrations:

• 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

Happy Learning 🙂