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  • Book


  • Authors: Peng Duan (2020)

  • This book provides the readers with an interdisciplinary perspective on communication in the diffuse boundaries that also demonstrates the diversity and inclusion for presenting wide range and rapid changes in contents, and the authors use "smart" as the guiding principle while indicate "communication" has been defined as a core feature. Appropriately, the book is divided into eight major sections.

  • Book


  • Authors: Kaplan Publishing (2020)

  • The Financial Accounting Study Text helps you learn the underlying principles, concepts and regulations relating to financial accounting. Written by subject specialists, the Study Text will encourage you to develop technical proficiency in the use of double-entry accounting techniques and you can follow guidance from ACCA about how to apply your knowledge to the exams. You can test how much you've learnt with knowledge tests which appear regularly throughout the text and it includes supplementary materials to increase your chance of success.

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  • Authors: BBP Learning Media (2020)

  • Là nhà xuất bản tài liệu ACCA đầu tiên được công nhận, BPP Learning Media đã đặt ra tiêu chuẩn để sản xuất các tài liệu học tập đặc biệt cho cả sinh viên và gia sư. Nội dung học tập, Bộ tài liệu thực hành & ôn tập và i-Pass (dành cho các kỳ thi theo yêu cầu) của chúng tôi được xem xét bởi nhóm khảo thí ACCA và được viết bởi các tác giả nội bộ của chúng tôi với kinh nghiệm trong ngành và giảng dạy, những người hiểu được những gì cần thiết để thành công trong kỳ thi.

  • Book


  • Authors: Ethem Alpaydın (2010)

  • The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing class...

  • Book


  • Authors: Kotu, Vijay; Bala Deshpande (2018)

  • Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.

  • Book


  • Authors: Dimitri Bertsekas; Robert Gallager (1987)

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  • Book


  • Authors: Doug Lowe (2016)

  • This fully-updated text will become your go-to guide for network development. This easy-to-understand guide gives you everything you need to dive into the network development game. Networking entails the connection of two or more computers, allowing them to share resources and exchange data. This is essential in the workplace, and has become highly popular in home settings as more and more people are connecting their home computers.

  • Book


  • Authors: Brian S. Yandell (1997)

  • Practical Data Analysis for Designed Experiments examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory.

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  • Authors: Fadi Al-Turjman (2019)

  • This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion.