Innovations in Machine and Deep Learning

Case Studies and Applications de

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Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2023-09-28

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Description

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts.
The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0.

This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.
Pages
514 pages
Collection
Studies in Big Data
Parution
2023-09-28
Marque
Springer
EAN papier
9783031406874
EAN PDF
9783031406881

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
51
Taille du fichier
14950 Ko
Prix
189,89 €
EAN EPUB
9783031406881

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
51
Taille du fichier
80077 Ko
Prix
189,89 €