Applications Using Machine Learning Algorithms for Developing Smart Systems

M. Nagakannan, S. Ramkumar, S. Chandra Priyadharshini, S. Nithya and A. Maheswari
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M. Nagakannan: Kalasalingam Academy of Research and Education, School of Computing
S. Ramkumar: Kalasalingam Academy of Research and Education, School of Computing
S. Chandra Priyadharshini: Kalasalingam Academy of Research and Education, School of Computing
S. Nithya: Kalasalingam Academy of Research and Education, School of Computing
A. Maheswari: Kalasalingam Academy of Research and Education, School of Computing

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 929-937 from Springer

Abstract: Abstract Machine learning is one of the advance topic in research areas. In this machine learns itself to do certain predictions and works. Machine learning is mainly divided into different types of learning methods and each method is using different algorithms. Using these algorithms and methods the manual work is reduced and Automatic way of working is done or work is done automated. Agile systems using machine learning is one of the developing technology in current and mostly liked y the people. Agile systems uses algorithms of machine learning and their types of learning are explained in this paper. Machine learning along with artificial intelligence is said to be one of the prevailing topic which are used, using and under researching.

Keywords: Machine learning; Supervised learning; Unsupervised learning; Sift; Agile systems (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_94

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DOI: 10.1007/978-3-030-41862-5_94

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