A Review on Various Algorithms used in Machine Learning

Authors

  • Divya Chaudhary  Computer Science and Engineering, Department, Chandigarh University, Gharuan, Punjab, India
  • Er. Richa Vasuja  Assistant Professor, Computer Science and Engineering, Department, Chandigarh University, Gharuan, Punjab, India

DOI:

https://doi.org//10.32628/CSEIT1952248

Keywords:

Machine Learning(ML), Supervised Learning(SL), Unsupervised Learning(USL), K-means, Decision Trees.

Abstract

In today's scenario all of data is being generated by everyone of us . so it becomes vital for us to handle this data. To do so new technologies are being developed such as machine learning, data mining etc. This paper gives the study related to machine learning(ML).Precise approximations are repetitively being produced by Machine Learning algorithms. Machine learning system effectively “learns” how to guess from training set of completed jobs. The main purpose of the review is to give a jagged estimate or overview about the mostly used algorithms in machine learning.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Divya Chaudhary, Er. Richa Vasuja, " A Review on Various Algorithms used in Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.915-920, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952248