UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFN06046


Registration ID:
403982

Page Number

277-282

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Title

TO PREDICT AND IDENTIFY THE FUTURE NEEDS OF THE ORGANISATION USING MACHINE LEARNING

Abstract

In Industry 4.o [Fourth Industrial Revolution], The advanced world has Internet of Things [IOT], Cyber security, Artificial knowledge, Social media information, Business information, wellbeing information and so on One of the ongoing subject in PC field is man-made consciousness and AI . The AI calculation has part of data sources. The sub gathering of AI is Deep Learning (DL). In many fields profound learning has been examined and executed. The far reaching view on AI calculation is introduced in this paper. The different AI procedures and to distinguish the colossal costs and lessen the compensation and costs of the association utilizing AI calculations

Key Words

Logistic relapse, decreasing the costs of the association

Cite This Article

"TO PREDICT AND IDENTIFY THE FUTURE NEEDS OF THE ORGANISATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.277-282, June-2022, Available :http://www.jetir.org/papers/JETIRFN06046.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"TO PREDICT AND IDENTIFY THE FUTURE NEEDS OF THE ORGANISATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp277-282, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06046.pdf

Publication Details

Published Paper ID: JETIRFN06046
Registration ID: 403982
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 277-282
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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