PurpleDyeAcademy

Glossary

S

Supervised Learning

With this style of learning, the algorithm is provided with a known outcome variable in addition to the other input parameters. Because the outcome is known in advance, the algorithm can use it to guide its learning in that precise direction.

U

Unsupervised Learning

With this learning technique, there is no set outcome variable provided and the algorithm instead examines the data as it presents itself and seeks to find meaningful patterns. It is usually ideal for detecting similarities and anomalies.

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