A review Of Machine Learning Methodology in Big data

Nipa D Bhadja , Prof. Ashutosh A Abhangi

Machine learning, machine algorithm, Learning technique

In this paper, various machine learning algorithms have been discussed and we present a literature survey of the latest advances in researches on machine learning for big data processing. First, we review the machine learning types and algorithms. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically. Finally, we outline several open issues and research trends.

Published Paper   E-Certificate

"A review Of Machine Learning Methodology in Big data", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.361 - 368, May-2018, Available :https://ijsdr.org/papers/IJSDR1805051.pdf

Volume 3 Issue 5, May-2018

Pages : 361 - 368

Paper Reg. ID: IJSDR_180263

Published Paper Id: IJSDR1805051

Downloads: 000347239

Research Area: Engineering

Country: -, -, --

Published Paper PDF: https://ijsdr.org/papers/IJSDR1805051

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1805051

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition