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  • Sách/Book

  • Cryptography : algorithms, protocols, and standards for computer security

    • Authors: Mammeri, Zoubir (2024)

  • This book constitutes a comprehensive yet accessible introduction to the algorithms, protocols, and standards which protect the modern internet. Built around both foundational theories and hundreds of specific algorithms, it also incorporates the required skills in complex mathematics.The result is an indispensable introduction to the protocols and systems which should define cryptography for decades to come
  • Sách/Book

  • Advanced healthcare systems : empowering physicians with IoT enabled technologies

    • Authors: - (2022)

  • This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning
  • Sách/Book

  • Creating Web sites bible

    • Authors: Philip Crowder (2008)

  • Giới thiệu nền tảng căn bản của việc thiết kế các trang web. Đưa ra một số phương pháp tạo một trang web tư cơ bản cho đến chuyên nghiệp. Sử sử dụng các ngôn ngữ lập trình và những ứng dụng đối với hệ thống đa phương tiện
  • Sách/Book

  • Artificial Intelligence for Sustainable Applications

    • Authors: - (2023)

  • With the advent of recent technologies, the demand for Information and Communication Technology (ICT)-based applications such as artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), health care, data analytics, augmented reality/virtual reality, cyber-physical systems, and future generation networks, has increased drastically. In recent years, artificial intelligence has played a more significant role in everyday activities
  • Sách/Book

  • Learning Java : a test-driven approach

    • Authors: Joshua Crotts (2024)

  • This text takes a different, perhaps "functional" approach to learning Java: it introduces testing and methods from the start, followed by conditionals, recursion, and loops (on purpose in this very order). It then dives deep into data structures and the Java Collections API, including streams and generics. After this, it pivots to object-oriented programming, exceptions and I/O, searching and sorting, algorithm analysis, and eventually advanced Java/programming topics.
  • Sách/Book

  • Data-Centric Machine Learning with Python: the ultimate guide to engineering and deploying high-quality models based on good data

    • Authors: Jonas Christensen (2024)

  • Throughout the book, you'll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You'll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift.
  • Sách/Book

  • Java programming exercises

    • Authors: Christian Ullenboom. (2024)

  • "Take the first step in raising your coding skills to the next level and test your Java knowledge on tricky programming tasks with the help of the pirate Captain CiaoCiao in Java Programming Exercsises: Programming, the first of two volumes. Author and Java champion Christian Ullenboom provides you with everything you need: Exercises on features and tricks that you should know in detail as a professional, as well as intensive training for clean code and thoughtful design that carries even complex software."--
  • Sách/Book

  • Machine Learning Infrastructure and Best Practices for Software Engineers : Take Your Machine Learning Software from a Prototype to a Fully Fledged Software System

    • Authors: Miroslaw Staron Tác giả: Staron, Miroslaw (2024)

  • The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you'll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.