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Results 2851-2860 of 3054 (Search time: 0.031 seconds).
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Y học và y tế
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  • 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

  • Sách/Book


  • Authors: Bill Lubanovic (2023)

  • "FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. The book also gets you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI."

  • Sách/Book


  • Authors: Carlos Coronel; Steven Morris (2023)

  • 14th edition, equips you with a solid foundation in database design and implementation for today's market. The authors blend foundational theory, the latest real-world practices and the skills employers want. Straightforward writing and vivid illustrations make even complex concepts easy to understand. You'll learn the key to successful database implementation as you study how to properly design databases that fit within the larger strategic data environment. Expanded coverage includes big data analytics, NoSQL and data visualization technologies. In addition, the MindTap digital platform gives you real-world, hands-on practice to help you prepare for a successful career in database design and management.