Machine Learning Algorithms : A Review

In this paper, various machine learning algorithms have been discussed. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically.

[1]  K. alik An efficient k'-means clustering algorithm , 2008 .

[2]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[3]  Peter Harrington,et al.  Machine Learning in Action , 2012 .

[4]  Yoram Singer,et al.  Pegasos: primal estimated sub-gradient solver for SVM , 2011, Math. Program..

[5]  D. Opitz,et al.  Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..

[6]  Mircea Andrecut,et al.  Parallel GPU Implementation of Iterative PCA Algorithms , 2008, J. Comput. Biol..

[7]  Xiaojin Zhu,et al.  Introduction to Semi-Supervised Learning , 2009, Synthesis Lectures on Artificial Intelligence and Machine Learning.

[8]  Sotiris B. Kotsiantis,et al.  Supervised Machine Learning: A Review of Classification Techniques , 2007, Informatica.

[9]  Andrew W. Moore,et al.  Reinforcement Learning: A Survey , 1996, J. Artif. Intell. Res..

[10]  Vidushi Sharma,et al.  A Comprehensive Study of Artificial Neural Networks , 2012 .

[11]  Rich Caruana,et al.  Multitask Learning , 1997, Machine-mediated learning.

[12]  Lior Rokach,et al.  Top-down induction of decision trees classifiers - a survey , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[13]  R. Sutton Introduction: The challenge of reinforcement learning , 1992, Machine Learning.