In the simplest terms, machine learning does the following:
1. takes input data,
2. does some math on it,
3. spits out the solution.
“Weights” are just numbers that are involved in math in step 2. During the learning process, the job of the machine learning model is to figure out what those numbers need to be so that the solution is correct.
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