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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM12975

Machine Learning and Its Algorithms and Development

Stream/Area:

-

Subject:

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Paper ID:

IJSREM12975

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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AM

Ashish Mehra

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Abstract

The basic classification of machine learning is look into in this article, which includes supervised learning, unsupervised learning, semi-supervised and reinforcement learning. It examines common machine learning methods such as the decision tree algorithm, random forest algorithm, artificial neural network algorithm, SVM algorithm and Boosting and Bagging algorithm. The goal is to increase people’s awareness of machine learning and speed-up its popularization through the development of theoretical systems, further improvement of autonomous learning capabilities, the integration of multiple digital technologies, and the promotion of personalized custom services.

KEYWORDS

Algorithm Machine Learning Pseudo Code Supervised learning Unsupervised learning Reinforcement learning

Cite This Article

Ashish Mehra, "Machine Learning and Its Algorithms and Development," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

9/4/2022

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Double-Blind Peer Review

Review Rounds: 2

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14

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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