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Gradient Descent

Discover how AI models learn through Gradient Descent—the optimization algorithm behind machine learning. Core concept: minimizing errors to find optimal solutions The math: θₙ₊₁ = θₙ - α∇J(θₙ) Intuitive analogy: like a mountain biker finding the fastest path downhill Perfect for anyone learning AI fundamentals or deepening their understanding of how machine learning models optimize performance. 🔔 Subscribe to GradientDescent-AI for more AI concepts, tutorials, and deep dives into computer vision, NLP, and autonomous systems. Join our ride to mastering AI.