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  • Book


  • Authors: Saeed K. Rahimi (2010)

  • This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.

  • Book


  • Authors: Ian Goodfellow (2016)

  • Written by three experts in the field, Deep Learning is the only comprehensive book on the subject. It provides much-needed broad perspective and mathematical preliminaries for software engineers and students entering the field, and serves as a reference for authorities.

  • Book


  • Authors: Stephen R. Schach. (2010)

  • Giới thiệu về lập trình hướng đối tượng và kỹ thuật phần mềm. Kiến thức về kỹ thuật phần mềm: chu kỳ phần mềm, qui trình, các nhóm, kiểm tra, công cụ thương mại, mô đum, đối tượng... Chu kỳ phần mềm dòng công việc: nhu cầu, phân tích truyền thống, phân tích hướng đối tượng, thiết kế, sử dụng ngôn ngữ UML, C++...

  • Book


  • Authors: Laura Igual (2017)

  • This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming Reviews a range of applications of data scienc...

  • magazine


  • Authors: Bùi Huy Hiền (2017)

  • Giới thiệu định nghĩa, tính chất, nội dung và bài tập thực hành của các phép toán đại số và nửa nhóm, nhóm, vành và trường, một số loại vành đặt biệt

  • Book


  • Authors: Randal E. Bryant (2016)

  • Computer systems: A Programmer’s Perspective explains the underlying elements common among all computer systems and how they affect general application performance. Written from the programmer’s perspective, this book strives to teach students how understanding basic elements of computer systems and executing real practice can lead them to create better programs.

  • Book


  • Authors: Lê Đăng Hưng; Nguyễn Hữu Đức; Nguyễn Thanh Thuỷ (2016)

  • Trình bày các khái niệm, phương pháp lập trình hướng đối tượng, phương pháp giải quyết bài toán mới bằng ngôn ngữ lập trình C++. Các mở rộng của C++ so với C, đối tượng và lớp, định nghĩa toán tử trên lớp, kỹ thuật thừa kế, khuôn hình, các kênh xuất nhập...

  • Book


  • Authors: Lowell, US (2015)

  • Introductory textbook in the important area of network security for undergraduate and graduate students * Comprehensively covers fundamental concepts with newer topics such as electronic cash, bit-coin, P2P, SHA-3, E-voting, and Zigbee security * Fully updated to reflect new developments in network security * Introduces a chapter on Cloud security, a very popular and essential topic * Uses everyday examples that most computer users experience to illustrate important principles and mechanisms * Features a companion website with Powerpoint slides for lectures and solution manuals to selected exercise problems...

  • Book


  • Authors: Miguel Elias Mitre Campista; Marcelo Goncalves Rubinstein (2014)

  • This text introduces the principles of routing protocols and metrics as they affect wireless networking environments, specifically in urban areas. Timely because of the recent rise in small city life, this topic includes the consideration of ad hoc, mesh, vehicular, sensor, and delay tolerant networks. These approaches are each unique, and author Miguel Mitre Campista provides a thorough, but accessible, explanation of their individual characteristics for engineers, computer scientists, IT professionals, and curious Internet users.