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  • Sách/Book


  • Authors: Brewer, Peter; Noreen, Eric; Ray Garrison (2021)

  • Its manageable chapters and clear presentation point students toward understanding, just as the needle of the compass provides direction to travelers. However, the book's authors also understand that everyone's destination may be different. Some students will become accountants, while others are destined for careers in management, marketing, or finance.

  • Sách/Book


  • Authors: Jean Ho; Mavluda Sattorova (2021)

  • This book is the first book-length analysis of investor accountability under general and customary international law, international human rights law, international environmental law, international humanitarian law, as well as international investment law. International investment law is currently facing growing criticisms for its failure to address corruption, abuse, environmental damage, and other forms of investor misconduct. Reform initiatives range from the rejection of international law as a governing regime for investors, to the dramatic overhaul of investment treaties that supposedly enable investor overprotection, to the creation of a multilateral international instrument that would enable the litigation of claims against errant businesses before an international tribunal. W...

  • Sách/Book


  • Authors: Ines Willemyns (2021)

  • Part of the confusion surrounding digital services trade specifically, but also e-commerce in general, is caused by the fact that digital trade comes with its own terminology, which is often unfamiliar to the average trade lawyer. Not only does the WTO itself not make use of the term 'digital services', other terms have popped up in the debate without Members reaching consensus on their meaning. Such terms include: 'digital platforms', 'digital product', 'digital content', 'data' and 'data flows'. I will analyse these terms and determine their position in relation to the definition of digital services as used in this book

  • Sách/Book


  • Authors: Maria Schuld (2021)

  • This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.

  • Sách/Book


  • Authors: Miguel Morales (2021)

  • This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.