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Machine Learning – A New Paradigm of AI
Hemant Kumar Soni1
Section:Review Paper, Product Type: Journal
Vol.7 ,
Issue.3 , pp.31-32, Jun-2019
Online published on Jul 30, 2019
Copyright © Hemant Kumar Soni . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Hemant Kumar Soni, “Machine Learning – A New Paradigm of AI,” International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.3, pp.31-32, 2019.
MLA Style Citation: Hemant Kumar Soni "Machine Learning – A New Paradigm of AI." International Journal of Scientific Research in Network Security and Communication 7.3 (2019): 31-32.
APA Style Citation: Hemant Kumar Soni, (2019). Machine Learning – A New Paradigm of AI. International Journal of Scientific Research in Network Security and Communication, 7(3), 31-32.
BibTex Style Citation:
@article{Soni_2019,
author = {Hemant Kumar Soni},
title = {Machine Learning – A New Paradigm of AI},
journal = {International Journal of Scientific Research in Network Security and Communication},
issue_date = {6 2019},
volume = {7},
Issue = {3},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {31-32},
url = {https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=369},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRNSC/full_paper_view.php?paper_id=369
TI - Machine Learning – A New Paradigm of AI
T2 - International Journal of Scientific Research in Network Security and Communication
AU - Hemant Kumar Soni
PY - 2019
DA - 2019/07/30
PB - IJCSE, Indore, INDIA
SP - 31-32
IS - 3
VL - 7
SN - 2347-2693
ER -
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Abstract :
Artificial intelligence is a field of programming building which gives PCs an ability to learn without being unequivocally modified. Computer based intelligence is used in a combination of computational errands where organizing and programming unequivocal algorithms with extraordinary execution isn`t basic. Applications fuse email isolating, affirmation of framework gate crashers or threatening insiders advancing toward a data break. One of the foundation objectives of AI is to get ready PCs to utilize data to deal with a foreordained issue. An extraordinary number of usages of AI like classifier getting ready on email messages to isolate among spam and non-spam messages, blackmail revelation, etc. In this article we will focus on stray pieces of AI, AI endeavors and issues and diverse AI algorithms.
Key-Words / Index Term :
Machine learning, supervised learning, unsupervised learning, classification
References :
[1] R. Maruthaveni and V. Kathiresan, “A Critical Study on RFID”, IJSRNSC, Volume-6, Issue-2, pp. 62-65, April 2018.
[2] Rakesh Kumar Saini, “Data Mining tools and challenges for current market trends-A Review”, International Journal of Scientific Research in Network Security and Communication, Vol.7, Issue.2, pp.11-14, 2019.
[3]. Talwar, A. and Kumar, Y. “Machine Learning: An artificial intelligence methodology”. International Journal of Engineering and Computer Science, 2, pp.3400-3404, 2013.
[4]. Muhammad, I. and Yan, Z.,. “Supervised Machine Learning Approaches: A Survey”. ICTACT Journal on Soft Computing, 5(3), 2015.
[5]. Singh, S., Kumar, N. and Kaur, N. “Design And development Of RFID Based Intelligent Security System. International”, Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume, 3, 2014.
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