Machine Learning Methods, Techniques and Applications

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on the development of computer algorithms that improve automatically through experience and by the use of data. Machine Learning is all about creating and implementing algorithms that facilitate these decisions and predictions. These algorithms are designed to improve their performance over time, becoming more accurate and effective as they process more data. In traditional programming, a computer follows a set of predefined instructions to perform a task. However, in machine learning, the computer is given a set of examples (data) and a task to perform, but it's up to the computer to figure out how to accomplish the task based on the examples it's given. In this paper we have discussed various types of machine learning and its types, how does machine learning works and we have also explained machine learning method including supervised learning, unsupervised learning, and reinforcement learning.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-31
DOI
https://doi.org/10.22214/ijraset.2025.71812
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Methods, Techniques and Applications

S. Thilagavathi
International Journal for Research in Applied Science and Engineering Technology
Data Mining and Machine Learning Applications
article

Machine Learning Methods, Techniques and Applications

S. Thilagavathi
article en

Abstract

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on the development of computer algorithms that improve automatically through experience and by the use of data. Machine Learning is all about creating and implementing algorithms that facilitate these decisions and predictions. These algorithms are designed to improve their performance over time, becoming more accurate and effective as they process more data. In traditional programming, a computer follows a set of predefined instructions to perform a task. However, in machine learning, the computer is given a set of examples (data) and a task to perform, but it's up to the computer to figure out how to accomplish the task based on the examples it's given. In this paper we have discussed various types of machine learning and its types, how does machine learning works and we have also explained machine learning method including supervised learning, unsupervised learning, and reinforcement learning.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 83%
Data Mining and Machine Learning Applications
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