What is Gradient Descent? The Engine of AI.

Ever wondered how AI actually learns? It's not magic, it's a powerful mathematical process. In this video, we break down Gradient Descent, the fundamental algorithm that powers everything from simple models to complex neural networks.

Join us on the digital blackboard as we demystify the engine of machine learning. We cover the core concepts in a simple, step by step way, making it easy for anyone to understand.

In this lesson, you will learn about.
What a cost function is and why our goal is to find its lowest point.
The simple hiking in the fog analogy to build a strong intuition.
What the gradient is and how it tells us which direction to move.
The crucial role of the learning rate and how it controls our progress.
How Gradient Descent is used to train giant neural networks.
The key differences between Batch, Stochastic SGD, and Mini Batch Gradient Descent.

This explanation is perfect for beginners in AI, data science students, or anyone curious about what goes on inside the black box of modern artificial intelligence.

If this video helps you understand this core AI concept, please like the video and subscribe to BlackboardAI for more clear explanations on the blackboard. What AI topic should we cover next? Let us know in the comments.

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