Innovations in Machine and Deep Learning Case Studies and Applications /
Innovations in Machine and Deep Learning Case Studies and Applications / [electronic resource] :
edited by Gilberto Rivera, Alejandro Rosete, Bernabé Dorronsoro, Nelson Rangel-Valdez.
- 1st ed. 2023.
- IX, 514 p. 196 illus., 159 illus. in color. online resource.
- Studies in Big Data, 134 2197-6511 ; .
- Studies in Big Data, 134 .
Acceso multiusuario
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.
9783031406881
Engineering--Data processing.
Computational intelligence.
Big data.
Data Engineering.
Computational Intelligence.
Big Data.
TA345-345.5
620.00285
Acceso multiusuario
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.
9783031406881
Engineering--Data processing.
Computational intelligence.
Big data.
Data Engineering.
Computational Intelligence.
Big Data.
TA345-345.5
620.00285
