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Cited by 1,070Data Mining and Machine Learning ApplicationsMachine Learning and AlgorithmsArtificial Intelligence Applications

A Quick Review of Machine Learning Algorithms

Ray, Susmita·2019·2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
DOI 10.1109/comitcon.2019.8862451
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Abstract

Machine learning is predominantly an area of Artificial Intelligence which has been a key component of digitalization solutions that has caught major attention in the digital arena. In this paper author intends to do a brief review of various machine learning algorithms which are most frequently used and therefore are the most popular ones. The author intends to highlight the merits and demerits of the machine learning algorithms from their application perspective to aid in an informed decision making towards selecting the appropriate learning algorithm to meet the specific requirement of the application.

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Crossref · 10.1109/comitcon.2019.8862451

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  • Machine learning has revolutionized decision-making, operational efficiency, and market analysis, offering valuable insights for investors, agents, and homeowners in the economy.

    “It has revolutionized decision-making, operational efficiency, and market analysis, offering valuable insights for investors, agents, and homeowners in the economy (Ray, 2019).”

    From Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues (2025) · cites this paper as Ray, 2019

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Authors
Ray, S.
Affiliations
Manav Rachna University (IN)
Corresponding author
Ray, Susmita
ORCID
Ray, Susmita
Venue
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)
Publisher
IEEE
Published
2019-02
Pages
35-39
DOI
10.1109/comitcon.2019.8862451
OpenAlex
W2979543333
Cited by
1,070
References
0
Citations by year
2026: 57 · 2025: 162 · 2024: 257 · 2023: 327 · 2022: 159 · 2021: 78 · 2020: 29 · 2019: 1
FWCI
52.43
Type
conference paper
Language
en
Open access
closed
Licence
Locations
International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Algorithms
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
machine learning algorithms, algorithm selection, algorithm comparison, digitalization, artificial intelligence applications

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