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Innovations in Machine and Deep Learning

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Innovations in Machine and Deep Learning Synopsis

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.

About This Edition

ISBN: 9783031406874
Publication date: 29th September 2023
Author: Gilberto Rivera, Alejandro RoseteSuárez, Bernabé Dorronsoro, Nelson RangelValdez
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 514 pages
Series: Studies in Big Data
Genres: Databases
Artificial intelligence