Gradient Descent Explained
2:04
YouTubeData Science Foundry
Gradient Descent Explained
Gradient Descent is the engine behind how most machine learning models actually learn. 🧠 Here is exactly how it works in 4 simple steps: 1️⃣ Initialize: The model starts with random parameters (weights) and makes a rough prediction. 2️⃣ Calculate Loss: It measures the error (how far off the prediction is from the actual result) using ...
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