Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Ahmad Khan, Rafi
- Machine Learning: Techniques and Application
Abstract Views :179 |
PDF Views:3
Authors
Affiliations
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 5 (2014), Pagination: 169-175Abstract
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.- GDSS: Tool for Effective Decision Making
Abstract Views :194 |
PDF Views:3
Authors
Affiliations
1 University of Kashmir, Srinagar, Jammu and Kashmir, IN
1 University of Kashmir, Srinagar, Jammu and Kashmir, IN