Examination of ML use of rough sets theory

Pulkit jain

Abstract


Machine learning is a large subject of artificial intelligence that focuses on the creation and improvement of algorithms and techniques that allow computers to "learn." Machine learning has a wide range of uses, and academics have devoted a lot of time and energy to studying it. However, the challenge of quantifying learning quality and supervisor knowledge under partial information has not been handled particularly effectively. Uncertain and partial information may be used to derive knowledge using rough sets theory.

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