Innovations in Machine and Deep Learning: Case Studies and Applications

Author:   Gilberto Rivera ,  Alejandro Rosete ,  Bernabé Dorronsoro ,  Nelson Rangel-Valdez
Publisher:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   134
ISBN:  

9783031406904


Pages:   514
Publication Date:   30 September 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Innovations in Machine and Deep Learning: Case Studies and Applications


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Overview

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.

Full Product Details

Author:   Gilberto Rivera ,  Alejandro Rosete ,  Bernabé Dorronsoro ,  Nelson Rangel-Valdez
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   134
ISBN:  

9783031406904


ISBN 10:   3031406907
Pages:   514
Publication Date:   30 September 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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