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  • Sách/Book


  • Authors: Roozbeh Hazrat (2024)

  • This textbook introduces Python and its programmingthrough a multitude of clearly presented examples and worked-out exercises.Based on a course taught to undergraduate students of mathematics, science, engineering and finance, the book includes chapters on handling data, calculus, solving equations, and graphics, thus covering all of the basic topics in Python. Each section starts with a description of a new topic and some basic examples. The author then demonstrates the new concepts through worked out exercises. The intention is to enable the reader to learn from the codes, thus avoiding lengthy, exhausting explanations.With its strong focus on programming and problem solving, and an emphasis on numerical problems that do not require advanced mathematics, this textbook is also idea...

  • Sách/Book


  • Authors: Anddy Stanley (2023)

  • This comprehensive guide is a step-by-step tool to help you master Photoshop Elements 2024. It is proven to boost graphical work and increase productivity and is highly recommended. By following this guide, you'll gain the knowledge and experience you need to easily use Photoshop Elements 2024 and learn the latest features of the image editing program.This book contains comprehensive instructions that will effortlessly guide you through all of Photoshop Elements' processes, features, tools, and functionality. If you've read the book, you'll know how to enhance and polish all kinds of images to make them look flawless and absolutely attractive.

  • Sách/Book


  • Authors: B.B. Gupta (2019)

  • This book examines the latest research results on cloud computing and explores the broad applicability and scope of these trends on an international scale, venturing into the hot-button issue of IT services evolution and what we need to do to be prepared for future developments in cloud computing. It also explores big data applications in IoT

  • Sách/Book


  • Authors: Ümit Demirbaga (2024)

  • This book introduces readers to big data analytics. It covers the background to and the concepts of big data, big data analytics, and cloud computing, along with the process of setting up, configuring, and getting familiar with the big data analytics working environments in the first two chapters. The third chapter provides comprehensive information on big data processing systems - from installing these systems to implementing real-world data applications, along with the necessary codes. The next chapter dives into the details of big data storage technologies, including their types, essentiality, durability, and availability, and reveals their differences in their properties.

  • Sách/Book


  • Authors: Chao Zhang (2024)

  • The core aspiration of this book is to illuminate the dynamic interplay between big data and the nuanced process of decision-making, particularly in uncertain contexts. Our scope encompasses a spectrum of objectives, each contributing synergistically to the advancement of research and knowledge in this field

  • Sách/Book


  • Authors: Annie Nelson. (2024)

  • Data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you'll need to break free from the 9-5 grind and how data analytics--with its wide variety of skills, roles, and options--is the perfect field for people looking to refresh their careers.

  • Sách/Book


  • 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


  • Authors: Jun Qi (2024)

  • This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21-25, 2023. The 7 full papers and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development

  • Sách/Book


  • 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