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Results 101-110 of 132 (Search time: 1.779 seconds).
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  • Sách/Book

  • Machine learning and deep learning techniques for medical image recognition

    • Authors: Ben Othman Soufiene (2024)

  • "Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory, and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diag...
  • Sách/Book

  • Machine learning in medical imaging and computer vision

    • Authors: Amita Nandal (2023)

  • This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses
  • Sách/Book

  • Optimizing AI and Machine Learning Solutions : Your ultimate guide to building high-impact ML/AI solutions

    • Authors: Mirza Rahim Baig (2024)

  • This book approaches data science solution building using a principled framework and case studies with extensive hands-on guidance. It will teach the readers optimization at each step, whether it is problem formulation or hyperparameter tuning for deep learning models. This book keeps the reader pragmatic and guides them toward practical solutions by discussing the essential ML concepts, including problem formulation, data preparation, and evaluation techniques. Further, the reader will be able to learn how to apply model optimization with advanced algorithms, hyperparameter tuning, and strategies against overfitting.
  • Sách/Book

  • Picture Fuzzy Logic and Its Applications in Decision Making Problems

    • Authors: Chiranjibe Jana (2024)

  • Picture Fuzzy Logic and Its Applications in Decision Making Problems provides methodological frameworks and the latest empirical research findings in the field of picture fuzzy operators and their applications in scientific research and real-world engineering problems. In this book, picture fuzzy sets are investigated, and different types of operators are defined to solve a number of important decision-making and optimization problems.
  • Sách/Book

  • Computational intelligence in analytics and information systems

    • Authors: Hardeo Kumar Thakur (2023)

  • The new book presents a valuable selection of new and state-of-the-art technological advancements in various application areas using the concepts of AI and machine learning, highlighting the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As su...
  • Sách/Book

  • Python debugging for AI, machine learning, and cloud computing : a pattern-oriented approach

    • Authors: Dmitry Vostokov (2024)

  • This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins with an introduction to the pattern-oriented software diagnostics and debugging process that, before performing Python debugging, diagnoses problems in various software artifacts such as memory dumps, traces, and logs. Next, you'll learn to use various debugging patterns through Python case studies that model abnormal software behavior. You'll also be exposed to Python debugging techniques specific to cloud native and machine learning environments and explore how recent advances in AI/ML...
  • Sách/Book

  • How AI works : from sorcery to science

    • Authors: Ronald T. Kneusel (2024)

  • An accessible, straightforward guide that demystifies Artificial Intelligence for a general audience without the use of complex math or technical jargon. Covers the fundamentals, from classical models and neural networks to the large language models leading today's AI revolution
  • Sách/Book

  • AI for Teachers: An Open Textbook

    • Authors: Colin de la Higuera (2024)

  • This open educational resource is designed for use by teachers to address the needs of teachers. This is the first version and it is anticipated that the book will evolve and it will explore how AI is being used to do schoolwork, how it could be best used (or not) in education and what to watch out for. The book is designed from the premise that it is important for all teachers to understand AI and to make informed choices when it comes to adopting or not adopting AI into their practice
  • Sách/Book

  • Big Data and Analytics

    • Authors: Jugnesh Kumar (2024)

  • Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications
  • Sách/Book

  • Artificial intelligence : a modern approach

    • Authors: Stuart J. Russell (2021)

  • "Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"--