Name: Applications of Artificial Intelligence and Neural Systems to Data Science (en Inglés)
SKU: 59597806
Price: 180460.00 CLP
Availability: InStock
Author: Esposito, Anna ; Faundez-Zanuy, Marcos ; Morabito, Francesco Carlo
ISBN: 9789819935918

portada Applications of Artificial Intelligence and Neural Systems to Data Science (en Inglés)

Applications of Artificial Intelligence and Neural Systems to Data Science (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Esposito, Anna ; Faundez-Zanuy, Marcos ; Morabito, Francesco Carlo

Idioma

Inglés

N° páginas

360

Encuadernación

Tapa Dura

Dimensiones

23.6x15.8x2.4 cm

Peso

0.82 kg.

ISBN13

9789819935918

Categorías

Ingeniería electrónica
Ingeniería de las comunicaciones/las telecomunicaciones
Inteligencia artificial

Applications of Artificial Intelligence and Neural Systems to Data Science (en Inglés)

Esposito, Anna ; Faundez-Zanuy, Marcos ; Morabito, Francesco Carlo (Autor) · Springer · Tapa Dura

Libro Nuevo Importado

Envío: 16 a 21 días háb.

$ 360.920$ 180.460

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 180.460

Llega entre el 20 Nov y el 27 Nov a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Applications of Artificial Intelligence and Neural Systems to Data Science (en Inglés)"

This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human-machine or human-human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.