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  • Sách/Book

  • Adobe Premiere Pro Classroom in a Book (2020 release)

    • Authors: Maxim Jago (2020)

  • The 17 project-based lessons in this book show students step-by-step the key techniques for working in Premiere Pro. Students learn skills to take a project from beginning to end, including the basics on things like organizing media, using audio, creating transitions, producing titles, and adding effects.
  • Sách/Book

  • An insider's guide to cloud computing

    • Authors: David S. Linthicum (2023)

  • An Insider's Guide to Cloud Computing is for every technical and business decision-maker responsible for evaluating, planning, implementing, operating, or optimizing cloud systems. It offers exceptional value to professionals ranging from solution architects to cloud engineers, CTOs to enterprise consultants, or those just getting started on their cloud computing journey.
  • Sách/Book

  • Handbook of mobility data mining

    • Authors: Haoran Zhang (2023)

  • The Handbook of Mobility Data Mining introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. It explains how to preprocess mobility big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems.
  • Sách/Book

  • Handbook of mobility data mining

    • Authors: Haoran Zhang (2023)

  • The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems.
  • Sách/Book

  • Create your own digital photography

    • Authors: Peter Bauer (2006)

  • Presents advice on choosing a digital camera, to photography dos and don'ts, to printing and resolution constraints. This book explains hoe to create a slideshow with music; mix film prints with digital pictures; make posters, greeting cards, and calendars; alter digital photos; and, share photos on the web.
  • 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

  • Cryptography and network security : principles and practice

    • Authors: William Stallings (2006)

  • In this age of viruses and hackers, of electronic eavesdropping and electronic fraud, security is paramount. This solid, up-to-date tutorial is a comprehensive treatment of cryptography and network security is ideal for self-study.
  • Sách/Book

  • Machine learning in python for everyone

    • Authors: Mark Fenner (2020)

  • The Complete Beginner's Guide to Understanding and Building Machine Learning Systems with Python Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you're an absolute beginner.
  • Sách/Book

  • Core Java for the impatient

    • Authors: Cay S. Horstmann (2023)

  • "Modern Java introduces major enhancements that impact the core Java technologies and APIs at the heart of the Java platform. Many old Java idioms are no longer needed and new features such as modularization make you far more effective. Core Java for the Impatient, Third Edition, is a complete yet concise guide that includes all the latest changes through Java 17"
  • 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...