Gradient descent: The fundamental algorithm of machine learning
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Hello everyone! This is the seventh video in a series on the most important concepts of information theory and machine learning. This time, we'll explore the core algorithm of modern machine learning—gradient descent. We'll use visual analogies and a step-by-step explanation of how, like a hiker in the mountains, any model can "feel" its way to its optimal parameters and become smarter. Here you'll learn about gradient, antigradient, learning rate, and local minima, and understand the fundamental formula—the equation that drives artificial intelligence learning.