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  • Sách/Book

  • IoT product design and development : best practices for industrial, consumer, and business applications

    • Authors: Fattahi, Ahmad (2022)

  • This book will set up the foundation for the successful process of going about the IoT product design and management while offering specific practical and tried recommendations before, during, and after execution. It also offers a practical recipe for the endeavor by offering technological and human-related best practices and pitfalls based on numerous real-world examples. While high level technology, data, and business principles will be discussed, this book is not a deep technical guide that covers technological solutions in detail. Rather we cover the breadth of the technologies related to IoT at a high level
  • Sách/Book

  • Fundamentals of web development

    • Authors: Randy Connolly Calgary (2022)

  • "This textbook is intended to cover the broad range of topics required for modern web development and is suitable for intermediate to upper-level computing students. A significant percentage of the material in this book has also been used by the authors to teach web development principles to first-year computing students and to non-computing students as well"
  • Sách/Book

  • Starting out with Python

    • Authors: Tony Gaddis (2022)

  • PythonIn Starting Out with Python, 5th Edition, Tony Gaddis’ accessible coverage introduces students to the basics of programming in a high-level language. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to become comfortable with the fundamentals of programming without the troublesome syntax that can be challenging for novices.
  • Sách/Book

  • Data quality fundamentals : a practitioner's guide to building trustworthy data pipelines

    • Authors: Barr Moses (2022)

  • "Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you. Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't matter how advanced your data infrastructure is if the data you're piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck, from the data observability company Monte Carlo, explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the world's most innovative companies. Build more trustworthy and reliable data pipeline...
  • Sách/Book

  • Networking Essentials: A Comptia Network N10-008 Textbook

    • Authors: Jeffrey S. Beasley (2022)

  • This book has been thoroughly updated to reflect the latest version of the CompTIA Network+ exam. Networking Essentials, sixth edition, is a practical, up-to-date, and hands-on guide to the basics of networking. Written from the viewpoint of the network administrator, it requires absolutely no previous experience with either network concepts or day-to-day network management.
  • Sách/Book

  • Practical Mathematics for AI and Deep Learning

    • Authors: Tamoghna Ghosh (2022)

  • This book will teach you the common terminologies used in artificial intelligence such as models, data, parameters of models, and dependent and independent variables.