Innovations in Machine and Deep Learning

Gilberto Rivera

ISBN 10: 3031406877 / ISBN 13: 9783031406874

Verlag: Springer Nature Switzerland, Springer International Publishing Sep 2023, 2023

Beschreibung

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 524 pp. Englisch.

Bestandsnummer des Verkäufers 9783031406874

Bibliografische Details

• Titel: Innovations in Machine and Deep Learning
• Verlag: Springer Nature Switzerland, Springer International Publishing Sep 2023
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 3031406877
• ISBN-13: 9783031406874
• Einband: Buch
• Zustand: Neu
• Abmessungen: 241B x 160 H x 32 T Millimeter Breite: 241 mm, Höhe: 160 mm, Tiefe: 32 mm
• Gewicht: 1041 Gramm

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor