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

ABSTRACT: 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 several tasks such as forecasting, image classification, recognition, natural language processing, machine translation, etc. This review article aimed to provide comprehensive information on the Machine Learning and Deep Learning algorithms applied in Mexico. A total of 120 original research papers were included and details such as trends in publication, spatial location, institutions, publishing issues, subject areas, algorithms applied, and performance metrics were discussed. Furthermore, futur

SUBMITTER: Uc Castillo JL 

PROVIDER: S-EPMC11753225 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature