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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

  • 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

  • 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

  • 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

  • Database concepts

    • Authors: David M. Kroenke (2020)

  • Database Concepts offers students practical help creating and managing small databases, from two of the world's leading database authorities. The text focuses on database concepts, rather than features and functions of a particular product, making it flexible enough to work with the instructor's preferred software.
  • 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.
  • Sách/Book

  • International Marketing Strategy: Analysis, Development and Implementation

    • Authors: Lowe, Robin (2022)

  • It provides accessible content from around the world including newly emerging economies as well as explaining increasingly global risks and the role of digital developments. An exciting range of features including Management Challenges, Illustrations and contemporary case studies guide students through the complexities of international marketing as it responds to a rapidly changing environment.
  • Sách/Book

  • I, human : AI, automation, and the quest to reclaim what makes us unique

    • Authors: Chamorro-Premuzic, Tomas (2022)

  • It's no secret that AI is changing the way we live, work, love, and entertain ourselves. Dating apps are using AI to pick our potential partners. Retailers are using AI to predict our behavior and desires. Rogue actors are using AI to persuade us with Twitter bots and fake news. Companies are using AI to hire us-or not. This is just the beginning