Overview of Machine Learning Techniques

Authors

  • Shital Shere  Department of Information Technology, Anuradha Engineering College, Chikhali, Maharashtra, India
  • Yogita Bhalerao  Department of Information Technology, Anuradha Engineering College, Chikhali, Maharashtra, India
  • Ashvini Bansode  Department of Information Technology, Anuradha Engineering College, Chikhali, Maharashtra, India
  • Prof. P. T. Talole  Department of Information Technology, Anuradha Engineering College, Chikhali, Maharashtra, India

Keywords:

Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning.

Abstract

Machine learning may be a data analytic technique that teaches computers to try to do what comes naturally to human and animals learn from experience. Machine learning algorithms use computational methods to find out information directly from data without replying on predetermined equation as model. The algorithms adaptively improves their performance because the number of sample available for learning increases. Machine learning cares with the planning and development algorithms and techniques that allow computers to

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International Journal of Scientific Research in Science and Technology

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Published

2020-02-17

Issue

Volume 5, Issue 6, January-February-2020

Section

Research Articles

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

How to Cite

[1]
Shital Shere, Yogita Bhalerao, Ashvini Bansode, Prof. P. T. Talole "Overview of Machine Learning Techniques" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 5, Issue 6, pp.273-278, January-February-2020.