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What makes up an AI model? It’s simpler than you think.

In this video, I break down my secret formula:AI Model = Training Data + Algorithm.

You’ll learn:

The role of training data and algorithms in building AI
The core training dilemma: Optimization vs. Generalization
Common errors in model training: Overfitting vs. Underfitting
What “High Variance” and “High Bias” actually mean

This is a beginner-friendly explanation that cuts through the jargon and gets straight to the point.

----------------------

Also! I’m thrilled to announce my new book "AI, Machine Learning, Deep Learning: From Novice to Pro" is available for pre-order now.

Here is the preorder link - ⁠https://a.co/d/fJX1qUE⁠