Supervised Learning
Pembelajaran Terawasi
Learning from examples that come with the right answer attached.
In supervised learning every training example comes with a label: the email marked spam or not, the photo tagged cat, the sentence tagged positive or negative. The model compares its output to the label and adjusts. This is the most reliable and also the most expensive kind of learning, because someone has to produce the labels, and that is usually the bulk of the work in a real project. Most enterprise AI projects are supervised learning with a small model and a large labelled dataset nobody realised they had.
Related terms
Machine Learning
Programs that improve from examples instead of hand-written rules.
Dataset
A collection of examples used to train, evaluate, or ground a system.
Data Labeling
Attaching the right answer to each example so a model can learn from it.
Evaluation
Measuring whether the system does the job, on a fixed set of cases, repeatedly.
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