Machine Learning: A Way of Dealing with Artificial Intelligence

The activities of computers with Artificial Intelligence are intended for Speech recognition, Learning, Planning, Problem solving, etc. Machine Learning is a division/subset of AI. Deep learning is a part of AI that is concerned with coping the learning approach to facilitate human beings applies to gain certain kind of knowledge. This paper presents the idea of Machine Learning. The different methods of learning like supervised learning, unsupervised learning and reinforcement learning are explained with the concepts of regression, classification, clustering and association are given. The terminologies used in machine learning like statistic fit and dimensionality reduction are given with suitable examples.

[1]  Bruce E. Hansen,et al.  Testing for parameter instability in linear models , 1992 .

[2]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[3]  R. B. Dhumale,et al.  Genetic Algorithm: A Search-Based Optimization Technique , 2018 .

[4]  Jürgen Kurths,et al.  Modeling and identification of nonlinear systems , 2004 .

[5]  Mu-Chen Chen,et al.  Credit scoring with a data mining approach based on support vector machines , 2007, Expert Syst. Appl..

[6]  Tom Fawcett,et al.  An introduction to ROC analysis , 2006, Pattern Recognit. Lett..

[7]  R. Kurzban,et al.  HurryDate: Mate preferences in action , 2005 .

[8]  R. B. Dhumale,et al.  An Overview of Artificial Neural Networks: Part 1 , 2018 .

[9]  S. D. Lokhande,et al.  Neural Network Fault Diagnosis of Voltage Source Inverter under variable load conditions at different frequencies , 2016 .

[10]  Jahanzaib Shabbir,et al.  Artificial Intelligence and its Role in Near Future , 2018, ArXiv.

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

[12]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[13]  Yi Han,et al.  Overview of Artificial Neural Networks , 2009, Artificial Neural Networks.

[14]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[15]  R. B. Dhumale,et al.  An Overview of Artificial Neural Networks: Part 2 McCulloch-Pitts Model , 2018 .

[16]  E. Adam,et al.  Relationship functioning and home and work demands predict individual differences in diurnal cortisol patterns in women , 2001, Psychoneuroendocrinology.

[17]  R. B. Dhumale.  An Overview of Artificial Neural Networks: Part 3 Activation Functions , 2018 .

[18]  Jia-Lang Seng,et al.  An analytic approach to select data mining for business decision , 2010, Expert Syst. Appl..

[19]  R. B. Dhumale,et al.  Diagnosis of multiple open switch faults in three phase voltage source inverter , 2016, J. Intell. Fuzzy Syst..

[20]  R. Oxford,et al.  Language Learning Motivation: Expanding the Theoretical Framework , 1994 .

[21]  Zhenjun Ma,et al.  Supervisory and Optimal Control of Building HVAC Systems: A Review , 2008 .

[22]  J. F. Soechting,et al.  Path constraints on point-to-point arm movements in three-dimensional space , 1986, Neuroscience.