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This applies to [[Supervised Learning]]
First you show the learning algorithm data that represents what it’s looking for, then what it’s not looking for, over and over again while it modifies its internal values until it has learned to tell the difference between what it is looking for and what it is not.
You typically split your training data set into three sets.
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