Applications of Machine Learning and Rule Induction

Anurag Chhetri; Sanjay Kumar; Arya Nanda; Priyanshu Panwar; Shantanu1

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Publication Date: 2022/07/01

Abstract: The study of computing approaches for increasing attainment by automating the collection of data from previous experience is known as machine learning. Expert performance necessitates a great deal of dedicated to a particular domaindata, and apprehensionengineering has concluded in thousands of AI expert system in use in the industry. It basically tries to automatize the knowledge engineering by replacing much time-consuming human work with automatised algorithms which improves thesureness or competence by detecting and reprobateconsistency in training data. The ability of ML to brin about systems that are generallyhandled in thecommerce, education, and other settings is the ultimate test.

Keywords: ML, AI, Algo, Paradigms, put back

DOI: https://doi.org/10.5281/zenodo.6787438

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22MAY562_(1).pdf

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