Machine Learning: A Way of Dealing with Artificial Intelligence

被引:0
作者
Dhumale, R. B. [1 ]
Thombare, N. D. [1 ]
Bangare, P. M. [1 ]
机构
[1] Sinhgad Coll Engn, Dept E & TC, Pune 411041, Maharashtra, India
来源
PROCEEDINGS OF 2019 1ST INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION AND COMMUNICATION TECHNOLOGY (ICIICT 2019) | 2019年
关键词
Machine Learning; Artificial Intelligence; Deep Learning; statistical fitting; Dimensionality Reduction; DIAGNOSIS;
D O I
10.1109/iciict1.2019.8741360
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页数:6
相关论文
共 20 条
  • [11] Diagnosis of multiple open switch faults in three phase voltage source inverter
    Dhumale, R. B.
    Lokhande, S. D.
    [J]. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 30 (04) : 2055 - 2065
  • [12] TESTING FOR PARAMETER INSTABILITY IN LINEAR-MODELS
    HANSEN, BE
    [J]. JOURNAL OF POLICY MODELING, 1992, 14 (04) : 517 - 533
  • [13] Credit scoring with a data mining approach based on support vector machines
    Huang, Cheng-Lung
    Chen, Mu-Chen
    Wang, Chieh-Jen
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2007, 33 (04) : 847 - 856
  • [14] Reinforcement learning: A survey
    Kaelbling, LP
    Littman, ML
    Moore, AW
    [J]. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 1996, 4 : 237 - 285
  • [15] HurryDate: Mate preferences in action
    Kurzban, R
    Weeden, J
    [J]. EVOLUTION AND HUMAN BEHAVIOR, 2005, 26 (03) : 227 - 244
  • [16] PATH CONSTRAINTS ON POINT-TO-POINT ARM MOVEMENTS IN 3-DIMENSIONAL SPACE
    LACQUANITI, F
    SOECHTING, JF
    TERZUOLO, SA
    [J]. NEUROSCIENCE, 1986, 17 (02) : 313 - 324
  • [17] Human-level control through deep reinforcement learning
    Mnih, Volodymyr
    Kavukcuoglu, Koray
    Silver, David
    Rusu, Andrei A.
    Veness, Joel
    Bellemare, Marc G.
    Graves, Alex
    Riedmiller, Martin
    Fidjeland, Andreas K.
    Ostrovski, Georg
    Petersen, Stig
    Beattie, Charles
    Sadik, Amir
    Antonoglou, Ioannis
    King, Helen
    Kumaran, Dharshan
    Wierstra, Daan
    Legg, Shane
    Hassabis, Demis
    [J]. NATURE, 2015, 518 (7540) : 529 - 533
  • [18] HOW TO MAKE A DECISION - THE ANALYTIC HIERARCHY PROCESS
    SAATY, TL
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1990, 48 (01) : 9 - 26
  • [19] An analytic approach to select data mining for business decision
    Seng, Jia-Lang
    Chen, T. C.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (12) : 8042 - 8057
  • [20] Turing A., 1950, Mind, V236, P433, DOI [10.1093/mind/lix.236.433, 10.1093/mind/LIX.236.433, DOI 10.1093/MIND/LIX.236.433, DOI 10.1007/978-1-4020-6710-53]