文章基本信息

标题：To Study Various Machine Learning Technique
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作者：Atul Kumar ; Sunila Godara
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：6
页码：2648-2653
出版社：Shri Pannalal Research Institute of Technolgy
摘要：We all are acquainted with all the four generation of computer which had before happen. With the change in time and advancement many more equipment and programming changes come. Now in the phase of fifth era need of individuals prompts to the Artificial intelligence. Which is mainly concern with the concept of Machine learning means learning by doing. Machine learning mainly perform the main role in pattern recognition Process. There are many fields in which machine learning process take place which are like credit card fraud detection, search engines, speech recognition, Natural language processing, Number plate recognition etc. Here our aim of this paper is to study about various existing machine learning techniques furthermore about their pros/cons.
关键词：Decision Tree; K-Nearest Neighbors (KNN); Artificial ; Neural Network (ANN); Support Vector Machine (SVM); and K- ; means.