Spedizione gratuita per ordini superiori a 69,99 euro.

Controllare lo stato dell'ordine

Entra a far parte di una comunità di amanti dei libri di tutto il mondo e ottieni numerosi vantaggi. Crea un account gratuito

Spedizione gratuita con Packeta per un prezzo superiore a 69.99 €

Corriere Bartolini 4.49 € Punto Poste 5.49 € Punto Poste 5.49 € Punto Bartolini 3.49 € Corriere DHL 6.99 € Corriere GLS 5.99 € Punto GLS 4.49 €

Contatto

Come acquistare

Aiuto

Il mio account

▸ Vuoto :-(

Spedizione gratuita per ordini superiori a 69,99 euro.

Machine Intelligence and Data Science Applications

Name: Machine Intelligence and Data Science Applications
Brand: Springer
SKU: 45080634
Price: 346.99 EUR
Availability: InStock
Author: Amar Ramdane-Cherif
ISBN: 9789819916207

Proceedings of MIDAS 2022

Lingua

Inglese

Libro elettronico Adobe ePub DRM

Casa editrice Springer, settembre 2023

This book is a compilation of peer-reviewed papers presented at the International Conference on Mach... Descrizione completa

Codice Libristo: 45080634

849 b

346.99 €

Disponibile Consegna digitale immediata

I clienti hanno acquistato anche

Chansons Et Po Sies Diverses D Saugiers (Marc-Antoine M )

In brossura

22.59 €

Körperlogik verstehen Johannes Randolf

In brossura

17.79 €

Catalogue de Tableaux Modernes Et Anciens, Aquarelles, Dessins, Gouaches, Oeuvres de Baron Marius Paulme

In brossura

16.09 €

Lernquiz Gisela Darrah

In brossura

14.19 €

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles-Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.