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Innovations in Machine and Deep Learning: Case Studies and Applications (Studies in Big Data, 134)
by 作者: Gilberto Rivera (Editor), Alejandro Rosete (Editor), Bernabé Dorronsoro (Editor), Nelson Rangel-Valdez (Editor)
Language 语言: English
ISBN-10 书号: 3031406877
Product Dimensions: 6.3 x 1.26 x 9.49 inches; 2.3 Pounds
Publication Date 出版日期: September 29, 2023
Publisher Finelybook 出版社: ; 1st ed. 2023 edition
Country of Origin: Switzerland
ISBN-13 书号: 9783031406874
Release date: September 29, 2023
Book Description
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.
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.
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