A review on machine learning

Shaveta *

Assistant Professor, DCSA, Guru Nanak College, Ferozepur Cantt, Punjab, India.
 
Review
International Journal of Science and Research Archive, 2023, 09(01), 281–285.
Article DOI: 10.30574/ijsra.2023.9.1.0410
Publication history: 
Received on 18 April 2023; revised on 26 May 2023; accepted on 28 May 2023
 
Abstract: 
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.
 
Keywords: 
Machine learning; learning; Supervised learning; Artificial intelligence; Languages
 
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