Study of Machine learning algorithm

Year : 2024 | Volume :02 | Issue : 01 | Page : –
By

Santosh Kumar Sen

Neelesh Devre

  1. Assistant Professor Department of computer science and engineering, Corporate Institute of Science & Technology, Bhopal Madhya Pradesh India
  2. Assistant Professor Department of computer science and engineering, Corporate Institute of Science & Technology, Bhopal Madhya Pradesh India

Abstract

The scientific study of the statistical models and algorithms that computer systems employ to carry out a particular function without being specifically coded. Comprehending algorithms for various common uses is crucial. An adept learning algorithm proficient in ranking web pages contributes significantly to the consistent high performance of web search engines like Google whenever users utilize them to explore the internet. Many uses, such as image processing and data mining, and predictive analytics, among other things. The primary benefit of machine learning is that, once an algorithm develops its understanding of how to handle data, it is capable of working automatically. This paper provides a short overview and outlook of machine learning algorithms that have been made.

Keywords: Algorithm, Machine Learning, Pseudo Code, Supervised learning, Unsupervised learning, Reinforcement learning

[This article belongs to International Journal of Algorithms Design and Analysis Review(ijadar)]

How to cite this article: Santosh Kumar Sen, Neelesh Devre. Study of Machine learning algorithm. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):-.
How to cite this URL: Santosh Kumar Sen, Neelesh Devre. Study of Machine learning algorithm. International Journal of Algorithms Design and Analysis Review. 2024; 02(01):-. Available from: https://journals.stmjournals.com/ijadar/article=2024/view=146530

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Regular Issue Subscription Review Article
Volume 02
Issue 01
Received January 25, 2024
Accepted March 6, 2024
Published May 17, 2024
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