Supervised machine learning

uses a known recipe $($algorithm$)$

coded up by ingenious human

engineers to classify input cases

$($example data$)$ into desired output

$($goals$),$ with the aim of automating

the classification process.

assigns the desired output $($goals$)$ to

selected input cases $($example data$),$

with the aim of finding an algorithm

to accurately classify newly given

similar input data.