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Machine Learning: Techniques and Application


Affiliations
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, India
     

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Machine Learning (ML) is the ability of the machine to learn from the previous experience or history and perform better at a given task, as the future mimics the past. It is considered as a subfield of Artificial Intelligence (AI) and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms, it is considered as the science of development of algorithms which enable the machine to learn and perform tasks and activities. ML is a proven to have significant impact on both industry and research and there are numerous successful applications of ML. This paper discusses the definitions ML, various techniques of ML and highlights its various applications in research and business areas.

Keywords

Machine Learning, Neural Networks, Self-Organizing Maps (SOM), Genetic Algorithm.
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  • Machine Learning: Techniques and Application

Abstract Views: 243  |  PDF Views: 3

Authors

Rafi Ahmad Khan
Business School, University of Kashmir, Srinagar, Jammu and Kashmir, India

Abstract


Machine Learning (ML) is the ability of the machine to learn from the previous experience or history and perform better at a given task, as the future mimics the past. It is considered as a subfield of Artificial Intelligence (AI) and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms, it is considered as the science of development of algorithms which enable the machine to learn and perform tasks and activities. ML is a proven to have significant impact on both industry and research and there are numerous successful applications of ML. This paper discusses the definitions ML, various techniques of ML and highlights its various applications in research and business areas.

Keywords


Machine Learning, Neural Networks, Self-Organizing Maps (SOM), Genetic Algorithm.