Innovations in Machine and Deep Learning

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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.



Introduces machine and deep learning approaches for solving challenging problems Collects the latest technological innovations and models related to deep learning Includes representative applications and case studies using cutting-edge technologies

Inhalt

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031406904
    • Genre Technology Encyclopedias
    • Auflage 2023
    • Editor Gilberto Rivera, Nelson Rangel-Valdez, Bernabé Dorronsoro, Alejandro Rosete
    • Lesemotiv Verstehen
    • Anzahl Seiten 524
    • Herausgeber Springer Nature Switzerland
    • Größe H235mm x B155mm x T29mm
    • Jahr 2024
    • EAN 9783031406904
    • Format Kartonierter Einband
    • ISBN 3031406907
    • Veröffentlichung 30.09.2024
    • Titel Innovations in Machine and Deep Learning
    • Untertitel Case Studies and Applications
    • Gewicht 785g
    • Sprache Englisch

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