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ACT
Supervised learning is the process of learning WITH training labels, and is the most widely used kind of learning with it comes to AI-helping with stuff like tagging photos on Facebook and filtering spam from your email. We're going to start small today and show how just a single neuron (or perceptron) is constructed, and explain the differences between precision and recall. [14:56]
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