UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 10 | October 2024

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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311287


Registration ID:
527812

Page Number

c630-c643

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Title

Evolutionary Computational Methods and Techniques for Data Science Optimization

Abstract

The emerging field of data science is dedicated to the analysis of vast datasets through diverse methodologies, aiming to enhance data comprehensibility. A solid grasp of statistics, linear algebra, and optimization is essential for a profound understanding of data science. The pursuit of model performance improvement involves the optimization of parameters and hyperparameters, seeking the most effective values for achieving desired outcomes. This study endeavors to introduce accessible algorithms, both new and established, emphasizing ease of implementation and comprehension. The focus extends to appreciating theoretical analyses and discerning which algorithm suits specific data science challenges. The objectives encompass the identification of various optimization problems, linking them with applicable solution methods, and the manual application of optimization techniques to solve modest problems. Additionally, the study delves into discussions on interpreting the sensitivity of optimization solutions to changes in parameter values.

Key Words

Optimization, ML, DL, Data Science.

Cite This Article

"Evolutionary Computational Methods and Techniques for Data Science Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c630-c643, November-2023, Available :http://www.jetir.org/papers/JETIR2311287.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

"Evolutionary Computational Methods and Techniques for Data Science Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc630-c643, November-2023, Available at : http://www.jetir.org/papers/JETIR2311287.pdf

Publication Details

Published Paper ID: JETIR2311287
Registration ID: 527812
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: c630-c643
Country: visakhapatnam, Andhra Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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