Analysis of Machine Learning Techniques -A Survey

Authors

  • M.Balamurugan, Dr.Karthika.R.A

DOI:

https://doi.org/10.17762/msea.v71i4.908

Abstract

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.

Downloads

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

Issue

Section

Articles