The week's pick
Reseach Article
A Comprehensive Review to Understand the Definitions, Advantages, Disadvantages and Applications of Machine Learning Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 31 |
| Year of Publication: 2024 |
| Authors: Md. Jamaner Rahaman |
10.5120/ijca2024923868
|
Md. Jamaner Rahaman . A Comprehensive Review to Understand the Definitions, Advantages, Disadvantages and Applications of Machine Learning Algorithms. International Journal of Computer Applications. 186, 31 ( Jul 2024), 43-47. DOI=10.5120/ijca2024923868
Abstract
Machine learning (ML) means that first the machine learns with the help of algorithms then works automatically. In today's age people want to do almost everything automatically and efficiently. In that sense machine learning has made a revolutionary change because of its efficiency. An intelligent machine works faster than the human. The incidence of errors is conspicuously decreased by using ML. Depending on improving the necessity of ML algorithms in the present situation this paper tried to describe some ML algorithms especially supervised, unsupervised, semi-supervised and reinforcement learning including their definitions, advantages, disadvantages and area of work so that the people will understand which algorithm where to use. Particularly Support Vector Machine (SVM), Decision Trees, K-Nearest Neighbors (K-NN), Linear Regression, Logistic Regression for supervised learning. K-Means Clustering, Principal Component Analysis (PCA) for unsupervised learning. Basics of semi-supervised learning and reinforcement learning. Eventually from this paper people can easily get the idea of commonly used machine learning algorithms.
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