UGC Approved Journal no 63975(19)

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

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2104106


Registration ID:
307543

Page Number

38-44

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Title

Machine Learning Integration With Devops

Abstract

This paper presents Devops automation for machine learning. In Machine Learning or Deep Learning, data scientists must to change the model several times to seek out the most effective accuracy model manually. This took a plenty of your time, manpower and resources for making a machine learning or deep learning model precisely. This paper describes How to integrate Devops automation tool Jenkins Continuous integration (CI)/Continuous Deployment (CD) build pipeline and container technology Docker with Machine Learning to minimize the cost time manpower and resources of data scientists, MLops is a combination of machine learning and operations which is used to collaborate and communicate between data scientists and operations professionals to help managed production life cycle.

Key Words

Machine Learning, Devops, CI, CD, Pipeline, Jenkins, Docker

Cite This Article

"Machine Learning Integration With Devops", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.38-44, April-2021, Available :http://www.jetir.org/papers/JETIR2104106.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

"Machine Learning Integration With Devops", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp38-44, April-2021, Available at : http://www.jetir.org/papers/JETIR2104106.pdf

Publication Details

Published Paper ID: JETIR2104106
Registration ID: 307543
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 38-44
Country: Rajahmundry, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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