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Machine Learning Series Chapter 1

Summary

This article explores core machine learning concepts through Micrograd, a minimal autograd engine. It covers regression, classification, loss functions, gradients, and backpropagation with examples. Walk the readers through a neural network from scratch and train it step-by-step, observing how weights update and loss decreases.
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