A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities

A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities

This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. These models are recognized as powerful tools in many fields due to their capability to carry out s...

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Bibliographic Details
Main Authors: José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Artificial Intelligence
Subjects:
artificial intelligence
data science
Deep Learning
Machine Learning
Mexico
state-of-the-art
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1479855/full
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