UGC Approved Journal no 63975(19)

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

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2207714


Registration ID:
503618

Page Number

h89-h94

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Title

MATHEMATICIANS TOWARDS DATA SCIENCE AND MACHINE LEARNING

Abstract

Data Science has become one of the most important aspects in most fields as data volumes grow by the day. Data is critical in every industry, from healthcare to business. Mathematics and data are fundamental to modern science, and many industries are looking for graduates who can work in multiple fields. When one gets graduated, they can have a wide range of career options because of gained skills and knowledge in areas. One will have gained the necessary foundation for further postgraduate study and research in related fields. This paper highlights the relation of mathematics and data science with respect to the career opportunities for the mathematicians in the field of data science which is considered as a sexiest job in 21st century followed with different applications of mathematics in data science.

Key Words

Mathematics, Mathematicians, Data Science, Machine Learning, career, applications

Cite This Article

"MATHEMATICIANS TOWARDS DATA SCIENCE AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.h89-h94, July-2022, Available :http://www.jetir.org/papers/JETIR2207714.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

"MATHEMATICIANS TOWARDS DATA SCIENCE AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. pph89-h94, July-2022, Available at : http://www.jetir.org/papers/JETIR2207714.pdf

Publication Details

Published Paper ID: JETIR2207714
Registration ID: 503618
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: h89-h94
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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