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

Softcover

ISBN 10: 3031406907 ISBN 13: 9783031406904

Publisher: Springer, 2024

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 title

About the Author

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 3031406907
• ISBN 13: 9783031406904
• Binding: Paperback
• Number of pages: 523
• Editor: Rivera Gilberto, Rosete Alejandro, Dorronsoro Bernabé, Rangel-Valdez Nelson