Overview on Methodologies of Data Science in Artificial Intelligence

JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE Volume-2,Issue-11 (Nov-2019) page 120-123

5 Pages Posted: 25 Mar 2021

See all articles by Samir Ali

Samir Ali

Nile Valley University - Department of Electrical Engineering

Date Written: 2019

Abstract

The approach of the big data period has carried openings and challenges to knowledge research. In this paper, the arising techniques of knowledge research under the big data environment, similar to data mining, representation, semantic preparing, and so forth, also sums up some new apparatuses, like space. To advance knowledge hypothesis examination and practice, it is essential and helpful to investigate the refreshing of knowledge research techniques and instruments and find the latest model of insight examination. Datasets are so vast and composite that it gets hard to rehearse utilizing typical data preparing applications. Big data is a bunch of systems and advances that involve new types of combination to uncover enormous obscure qualities from massive datasets that are different, complex, and of considerable scope.

Keywords: Big data, Apache, Hadoop

Suggested Citation

Ali, Samir, Overview on Methodologies of Data Science in Artificial Intelligence (2019). JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE Volume-2,Issue-11 (Nov-2019) page 120-123, Available at SSRN: https://ssrn.com/abstract=3810941 or http://dx.doi.org/10.2139/ssrn.3810941

Samir Ali (Contact Author)

Nile Valley University - Department of Electrical Engineering ( email )

Sudan

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