Analysis of Machine Learning Techniques -A Survey
DOI:
https://doi.org/10.17762/msea.v71i4.908Abstract
A wide variety of strategies have been developed to help machine learning systems make sense of their broad array of possibilities. Supervised, unsupervised, and reinforcement learning are only a few of the many types of machine learning. Various strategies are put to the test on a variety of data sets. We shall compare the performance of supervised techniques in this study.
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Published
2022-09-24
How to Cite
M.Balamurugan, Dr.Karthika.R.A. (2022). Analysis of Machine Learning Techniques -A Survey. Mathematical Statistician and Engineering Applications, 71(4), 3472–3481. https://doi.org/10.17762/msea.v71i4.908
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