Modern Artificial Intelligence and Data Science 2024 [electronic resource] : Tools, Techniques and Systems / edited by Abdellah Idrissi.

Colaborador(es): Idrissi, Abdellah [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 1166Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XV, 603 p. 164 illus., 113 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031650383Tema(s): Engineering -- Data processing | Computational intelligence | Artificial intelligence | Data Engineering | Computational Intelligence | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620.00285 Clasificación LoC:TA345-345.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Artificial Intelligence Machine Learning and Deep Learning -- Artificial Intelligence Computer Vision and NLP -- Artificial Intelligence in Education and eHealth -- Artificial Intelligence in Transport IoT and Security.
En: Springer Nature eBookResumen: This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary for both academics and professionals. By its proposals of new ideas, it serves as a real guide both to informed readers and to beginners in these specialized fields. It also covers applications that discuss how they can support societal challenges such as education, health, agriculture, clean energy, business, environment, and security. Readers will find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. This book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctorate Students, Researchers, and Universities.
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Artificial Intelligence Machine Learning and Deep Learning -- Artificial Intelligence Computer Vision and NLP -- Artificial Intelligence in Education and eHealth -- Artificial Intelligence in Transport IoT and Security.

This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary for both academics and professionals. By its proposals of new ideas, it serves as a real guide both to informed readers and to beginners in these specialized fields. It also covers applications that discuss how they can support societal challenges such as education, health, agriculture, clean energy, business, environment, and security. Readers will find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. This book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctorate Students, Researchers, and Universities.

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