Resumen
Computer science and data science, together with deep learning technology, belonging to machine learning, are widely used to identify objects in images, transcribe speech into text, relate news, publications or products with the interests of users and select results. relevant search engines powering almost every aspect of modern society, especially deep learning which has made great strides in solving problems that have withstood the best attempts of the AI community for many years, proving very effective in uncovering complicated structures in a large amount of high-dimensional data and, consequently, applicable to multiple domains of science, government and business. The objective of this bibliographic review is to present a general description of deep learning, establish a conceptual definition, review the origin of this technology, understand the purpose, the relationship with data science, the ways in which it works and know the wide variety of applications in the different areas of modern daily life.
Título traducido de la contribución | Computing and data science using deep learning |
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Idioma original | Español (Ecuador) |
Páginas (desde-hasta) | 116-127 |
Número de páginas | 12 |
Publicación | RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao |
Volumen | 2022 |
N.º | E49 |
Estado | Publicada - 1 abr. 2022 |
Nota bibliográfica
Publisher Copyright:© 2022, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
Palabras clave
- Computing
- artificial intelligence
- data science
- deep learning
- machine learning