2024, Vol. 5, Issue 2, Part B
A comprehensive review of machine learning: Techniques, applications and future research directions
Author(s): Md. Zillur Rahman
Abstract: Machine learning (ML) is the empirical examination of algorithms and statistical models that enable computer systems to execute specified tasks autonomously, without explicit programming. Learning algorithms are used in several apps that we engage with every day. Each time an online search engine, such as Google, is used to explore the internet, its efficacy is mostly attributed to a learning algorithm that has been trained to rank web sites. These algorithms are used for diverse applications such as data mining, image processing, and predictive analytics, among others.
The primary benefit of using machine learning is that, once an algorithm has the necessary knowledge to process input, it may operate autonomously. This article provides a concise analysis and future outlook on the many uses of machine learning methods. The study examines literature on the uses of machine learning algorithms and methods across numerous domains, including medicine, agriculture, and science.
DOI: 10.33545/27075907.2024.v5.i2b.80Pages: 114-120 | Views: 1107 | Downloads: 494Download Full Article: Click Here
How to cite this article:
Md. Zillur Rahman.
A comprehensive review of machine learning: Techniques, applications and future research directions. Int J Cloud Comput Database Manage 2024;5(2):114-120. DOI:
10.33545/27075907.2024.v5.i2b.80
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