Innovations in Machine and Deep Learning: Case Studies and Applications (Studies in Big Data, 134)

Innovations in Machine and Deep Learning: Case Studies and Applications (Studies in Big Data, 134)

Author
Gilberto Rivera (editor), Alejandro Rosete (editor), Bernabé Dorronsoro (editor), Nelson Rangel-Valdez (editor)
Publisher
Springer
Language
English
Edition
1st ed. 2023
Year
2023
Page
523
ISBN
3031406877,9783031406874
File Type
epub
File Size
78.2 MiB

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.

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