Full Paper View Go Back
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.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
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 -
782 Views
492 Downloads
321 Downloads
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.
You do not have rights to view the full text article.
Please contact administration for subscription to Journal or individual article.
Mail us at ijsrnsc@gmail.com or view contact page for more details.