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A review on machine learning

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Shaveta *

Assistant Professor, DCSA, Guru Nanak College, Ferozepur Cantt, Punjab, India.

Review Article
 
International Journal of Science and Research Archive, 2023, 09(01), 281–285.
Article DOI: 10.30574/ijsra.2023.9.1.0410
DOI url: https://doi.org/10.30574/ijsra.2023.9.1.0410

Received on 18 April 2023; revised on 26 May 2023; accepted on 28 May 2023

Machine learning is a particular branch of artificial intelligence that teaches a machine how to learn, whereas artificial intelligence (AI) is the general science that aims to emulate human abilities. An AI method called machine learning teaches computers to learn from their past experiences. Machine learning algorithms don't rely on a predetermined equation as a model, but instead "learn" information directly from data using computational techniques. As the quantity of learning examples increases, the algorithms adaptively get better at what they do. This paper provides an overview of the field as well as a variety of machine learning approaches, including supervised, unsupervised, and reinforcement learning and various languages used for machine learning.

Machine learning; learning; Supervised learning; Artificial intelligence; Languages

https://ijsra.co.in/sites/default/files/fulltext_pdf/IJSRA-2023-0410.pdf

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Shaveta. A review on machine learning. International Journal of Science and Research Archive, 2023, 09(01), 281–285. Article DOI: https://doi.org/10.30574/ijsra.2023.9.1.0410

Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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