No Bullshit AINo Bullshit AIno-bullshit-aiCannabis Courseby Distru00 XP
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How a Machine Learns From Examples

Teach one tiny decider to guess which batches will sell, by showing it its mistakes one at a time. Every AI model you use, including the chat ones, learned the same way, just with billions of these deciders.A single artificial neuron (a perceptron) weighs a few facts and says yes or no. Training is showing it the examples it gets wrong and nudging its weights each time. You run it yourself, then see why real networks need many layers.The perceptron model and update rule, trained live on synthetic sell-through data; convergence on separable data and cycling on non-separable data; from there to multi-layer networks, differentiable losses, gradient descent and backpropagation.

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Adapted from Microsoft's AI for Beginners (Lesson 3: The perceptron, Lesson 4: Neural networks from scratch), MIT License. Rewritten for cannabis operations; not endorsed by Microsoft.