CS229 Lecture notes - Stanford Engineering Everywhere
“good” predictor for the corresponding value of y. For historical reasons, this function h is called a hypothesis. Seen pictorially, the process is therefore like this: Training set house.) (living area of Learning algorithm x h predicted y (predicted price) of house) When the target variable that we’re trying to predict is continuous, such
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