Some Gaps in Machine Learning

<p>The relationship between Mathematics, Science and Technology is complex. Science is a conceptual construct that maintains a relationship of equivalence with observable reality, involving many experimental methods. This equivalence allows for the quantitative models that constitute scientific knowledge and technological development, which are Theories. Many scientists share this idea despite its rudeness.</p>

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Publication Details

Journal
International Journal of Current Research in Science Engineering & Technology
Published
2025-06-06
DOI
https://doi.org/10.30967/ijcrset/pau-figuera/182
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Some Gaps in Machine Learning

Pau Figuera
International Journal of Current Research in Science Engineering & Technology
Neural Networks and Applications
article

Some Gaps in Machine Learning

Pau Figuera
article en

Abstract

<p>The relationship between Mathematics, Science and Technology is complex. Science is a conceptual construct that maintains a relationship of equivalence with observable reality, involving many experimental methods. This equivalence allows for the quantitative models that constitute scientific knowledge and technological development, which are Theories. Many scientists share this idea despite its rudeness.</p>

International Journal of Current Research in Science Engineering & TechnologyVol. 8(2)
Openalex Percentile: Top 93%
Neural Networks and Applications
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Some Gaps in Machine Learning — Pau Figuera · International Journal of Current Research in Science Engineering & Technology (2025) | TGRS Research Map | TGRS