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  • Sách/Book

  • AI for Finance

    • Authors: Edward P.K. Tsang (2023)

  • This book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact.
  • Sách/Book

  • Machine Learning with Quantum Computers

    • Authors: Maria Schuld (2021)

  • This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.
  • Sách/Book

  • Machine learning with neural networks : an introduction for scientists and engineers

    • Authors: Bernhard Mehlig (2023)

  • This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong connections are drawn with underlying methods from statistical physics and current applications within science and engineering. Closely based around a well-established undergraduate course, this pedagogical text provides a solid understanding of the key aspects of modern machine learning with artificial neural networks, for students in physics, mathematics, and engineering. Numerous exercises expand and reinforce key concepts within the book and allow students to hone their programming skills. Frequent references to current research devel...
  • Sách/Book

  • Big data analytics in fog-enabled IoT networks : towards a privacy and security perspective

    • Authors: Gupta, Govind P (2023)

  • This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.
  • Sách/Book

  • A Perspective on Artificial Intelligence in Manufacturing

    • Authors: George Chryssolouris (2023)

  • This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed.
  • Sách/Book

  • Artificial Intelligence for Health 4.0: Challenges and Applications

    • Authors: Rishabha Malviya (2023)

  • This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems