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Results 1341-1350 of 1529 (Search time: 0.191 seconds).
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  • Sách/Book

  • Statistical modeling and computation

    • Authors: Joshua Chan (2025)

  • The 2nd edition changes the programming language used in the text from MATLAB to Julia. For all examples with computing components, the authors provide data sets and their own Julia codes.
  • Sách/Book

  • Numerical methods and analysis with mathematical modelling

    • Authors: William P. Fox (2025)

  • The modeling prospective reveals the practical relevance of the numerical methods in context to real world problems. At the core of this text are the real-world modeling projects. Chapters are introduced and techniques are discussed with common examples. A modeling scenario is introduced that will be solved with these techniques later in the chapter.
  • Sách/Book

  • Visualization for artificial intelligence

    • Authors: Shixia Liu (2025)

  • This book: Covers visual analytics deployments in all stages of machine learning model building Demonstrates how visual analytics enhances the explainability and implementation of XAI Explores techniques to improve explainable AI through visual analysis
  • Sách/Book

  • Advanced Metaverse Wireless Communication Systems

    • Authors: Agbotiname Lucky Imoize (2025)

  • A comprehensive overview of advanced metaverse wireless communication systems including theoretical analysis, technology enablers, novel system architecture design, new implementation methodologies, emerging application scenarios, experimental frameworks, as well as reliability, security, and privacy
  • Sách/Book

  • Networked sensing systems

    • Authors: Rajesh Kumar Dhanaraj (2025)

  • This book serves as a platform to discuss networked sensing systems for a sustainable society, focusing on systems and applications based on mobile computing and wireless networks, while adopting multidisciplinary approaches that emphasize the human element in addressing these challenges
  • Sách/Book

  • Research Advances in Network Technologies

    • Authors: Anshul Verma; Pradeepika Verma (2025)

  • This book will present the most recent and leading research in the field of network technologies in order to achieve solutions for various problems that exist in this domain
  • Sách/Book

  • Natural Language Generation

    • Authors: Ehud Reiter (2025)

  • This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications.
  • Sách/Book

  • Python for large language model: A beginners handbook for leveraging LLMS into modern development workflows and applications

    • Authors: Planet, Code (2025)

  • "MACHINE LEARNING WITH PYTHON: A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications" is an essential read. Machine Learning with Python in this all-in-one guide designed for beginners and experienced developers alike! Whether you're diving into supervised and unsupervised learning, exploring neural networks, or mastering real-world applications, this book provides step-by-step explanations, hands-on examples, and expert insights.
  • Sách/Book

  • Machine learning : from the classics to deep networks, transformers, and diffusion models

    • Authors: Sergios Theodoridis (2025)

  • Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines. Bayesian learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification.