How models actually learn, from vanilla gradient descent to Adam
Machine learning looks like prediction, classification, generation, recommendation. Under the hood it is one repeated mathematical act: choose numbers, measure how bad they are, then change the numbers to make the badness smaller. That is optimization.
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▶ Why Optimization in ML?