Computer Science & Engineering

Computer Science & Engineering

Recent Submissions

  • Muller, Andreas C.; Guido, Sarah (O'Reilly, 2017)
    Machine learning is an integral part of many commercial applications and research projects today, in areas ranging from medical diagnosis and treatment to finding your friends on social networks. Many people think that ...
  • Galin, Daniel (IEEE Press, 2018)
    The book presents a comprehensive discussion on software quality issues and software quality assurance (SQA) principles and practices, and lays special emphasis on implementing and managing SQA. Primarily designed to serve ...
  • Stallings, William (Pearson, 2018)
    Now in its 9th Edition, Operating Systems: Internals and Design Principles provides a comprehensive, unified introduction to operating systems topics aimed at computer science, computer engineering, and electrical engineering ...
  • Larsen, Richard J.; Marx, Morris L. (Pearson, 2018)
    Introduction to Mathematical Statistics and Its Applications , 6th Edition is a high-level calculus student’s first exposure to mathematical statistics. This book provides students who have already taken three or more ...
  • Jones, Capers (CRC Press, 2018)
    This comprehensive reference uses a formal and standard evaluation technique to show the strengths and weakness of more than 60 software development methodologies such as agile, DevOps, RUP, Waterfall, TSP, XP and many ...
  • Goralski, Walter (Morgan Kaufmann, 2017)
    The Illustrated Network: How TCP/IP Works in a Modern Network, Second Edition presents an illustrated explanation on how TCP/IP works, using consistent examples from a working network configuration that includes servers, ...
  • Stallings, William (Pearson, 2017)
    Stallings’ Cryptography and Network Security, Seventh Edition, introduces the reader to the compelling and evolving field of cryptography and network security. In an age of viruses and hackers, electronic eavesdropping, ...
  • Comer, Douglas E. (Pearson, 2015)
    Leading networking authority Douglas Comer presents a wide-ranging, self-contained tour of the concepts, principles, and technologies that enable today’s Internet to support applications ranging from web browsing to telephony ...
  • Alpaydin, Ethem (MIT, 2016)
  • Stamp, Mark (CRC Press, 2017)
    Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is ...
  • Datta, Dilip (Springer, 2017)
    This book presents direct and concise explanations and examples to many LaTeX syntax and structures, allowing students and researchers to quickly understand the basics that are required for writing and preparing book ...
  • Witten, Ian H. ...[et al] (Morgan Kaufmann, 2017)
    Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data ...
  • Bergstra, Jan; Burgess, Mark (Elsevier, 2007)
    System administration is about the design, running and maintenance of human-computer systems. Examples of human-computer systems include business enterprises, service institutions and any extensive machinery that is operated ...
  • Bowles, Michael (John Wiley & Sons, 2015)
    Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to ...
  • Berger, Robert E. (John Wiley & Sons, 2014)
    This book is a guide to technical writing, presented in a systematic framework that mirrors the logic associated with the scientific process itself. Other English books merely define concepts and provide rules; this one ...
  • Engquist, Bjorn (Springer, 2015)
    EACM is a comprehensive reference work covering the vast field of applied and computational mathematics. Applied mathematics itself accounts for at least 60 per cent of mathematics, and the emphasis on computation reflects ...
  • Shalev-Shwartz, Shai; Ben-David, Shai (Cambridge University Press, 2014)
    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled ...
  • Unpingco, Jose (Springer, 2016)
    This book covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. The entire text, including all the figures and numerical results, is reproducible ...
  • Bronshtein, I.N. ...[et al] (Springer, 2015)
    This guide book to mathematics contains in handbook form the fundamental working knowledge of mathematics which is needed as an everyday guide for working scientists and engineers, as well as for students. Easy to understand, ...
  • Witten, Ian H.; Frank, Eibe; Hall, Mark A. (Morgan Kaufmann, 2011)
    Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining ...

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