Study on Machine Learning Algorithms
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : B.Sandhiya, R.P.S.Manikandan, G.Anitha, V.Prasath kumar|
|DOI : 10.14445/22312803/IJCTT-V65P106|
MLA Style: B.Sandhiya, R.P.S.Manikandan, G.Anitha, V.Prasath kumar "Study on Machine Learning Algorithms" International Journal of Computer Trends and Technology 65.1 (2018): 39-43.
APA Style:B.Sandhiya, R.P.S.Manikandan, G.Anitha, V.Prasath kumar (2018). Study on Machine Learning Algorithms. International Journal of Computer Trends and Technology, 65(1), 39-43.
Machine learning is the field evolved from Artificial Intelligence, goal is to mimic intelligent abilities of human by machines. Here come this paper gives the clear idea about classification algorithm. Classification is a supervised learning where the computer programs learn from the data given to it and the classify the data based on the observation. Classification algorithms are KNN, Decision tree, Random Tree, Support vector machine, Logistic Regression. Classification can be performed on both structured and unstructured data. The goal of classification problem is to find the category to which the new data fall. Data will falls under classification only when the desired output is discrete. Two types of classification, namely Binary classification and Multi label classification.Some examples are speech recognition, handwriting recognition, bio metric identification, document classification etc. In this paper, a novel learning about various Classification algorithms with example and types of classification
 Boser, B. E., I. Guyon, and V. Vapnik (1992). A training algorithm for optimal margin classifiers . In Proceedings of the Fifth Annual Workshop on Computational Learning Theory.
 V.Vapnik. The Nature of Statistical Learning Theory. NY: Springer-Verlag. 1995
 Chih-Wei Hsu, Chih-Chung Chang, and Chih-Jen Lin. “A Practical Guide to Support Vector Classification” . Deptt of Computer Sci.National Taiwan Uni, Taipei, 106, Taiwan http://www.csie.ntu.edu.tw/~cjlin 2007
 RSES 2.2 User?s Guide Warsaw University http://logic.mimuw.edu.pl/»rses ,January 19, 2005
Classification, SVM, Binary classification, Multi label classification.