Authors :
Mohamed Abdeldaiem Mahboub; Pyla Srinivasa Rao; T. Gopi Krishna
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/m82t3ubk
Scribd :
https://tinyurl.com/2pz2mxmj
DOI :
https://doi.org/10.5281/zenodo.10223937
Abstract :
In today's context, there is a growing need for
the introduction of innovative techniques and algorithms
within the realm of data science. Optimization strategies
provide a pathway for the development of data science
models. Our main focus is on examining and enhancing
state-of-the-art techniques and methodologies applied in
data science to effectively tackle various challenges. These
alternatives include rule-based systems and various
preprocessing methods for data science that are
independent of derivatives. We assert that the most
effective approach to achieving our goals involves the
application of machine learning. Utilizing optimization
methods and algorithms enables the identification of
improved solutions for challenges in machine learning
optimization, with the potential to significantly enhance
the learning capabilities and knowledge application of
machines.
Keywords :
Data science, optimization, rule-based systems.
In today's context, there is a growing need for
the introduction of innovative techniques and algorithms
within the realm of data science. Optimization strategies
provide a pathway for the development of data science
models. Our main focus is on examining and enhancing
state-of-the-art techniques and methodologies applied in
data science to effectively tackle various challenges. These
alternatives include rule-based systems and various
preprocessing methods for data science that are
independent of derivatives. We assert that the most
effective approach to achieving our goals involves the
application of machine learning. Utilizing optimization
methods and algorithms enables the identification of
improved solutions for challenges in machine learning
optimization, with the potential to significantly enhance
the learning capabilities and knowledge application of
machines.
Keywords :
Data science, optimization, rule-based systems.
