Optimization and Gradient Descent in Machine Learning | Explained Clearly
44:55
YouTubeTanmoy Learning Lab
Optimization and Gradient Descent in Machine Learning | Explained Clearly
Optimization is at the heart of how machine learning models learn. In this video, I explain optimization and gradient descent in machine learning with clear intuition and simple explanations. We explore how models minimize loss functions using derivatives and step-by-step gradient updates. Topics covered: • What is optimization in machine ...
602 views3 months ago
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Gradient Descent is the mathematical engine driving modern Machine Learning. This optimization process allows Neural Networks to perfect AI Automation tasks with surgical precision. Imagine standing on a foggy mountain. Your goal is to reach the lowest valley. You cannot see the path, but you can feel the slope under your feet. In AI, these slopes represent the "error gap" between a prediction and reality. The model takes a small step in the direction that feels downhill. Each step adjusts the i
1:30
3.6K views
Gradient Descent is the mathematical engine driving modern Machine Learning.
Mohit Rathod
Most people think Machine Learning is magic but it is actually pure Gradient Descent logic. This Optimization technique is the fundamental engine that trains every high-performing AI model today. Imagine your model’s total error is a giant mountain range. To reach peak performance you must find the lowest point in the valley. We calculate a "gradient" to find the steepest path upward. Then we do the exact opposite and move downward. By slightly tweaking one internal setting at a time while keepi
1:29
12.6K views
Most people think Machine Learning is magic but it is actually pure Gradient
Mohit Rathod
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