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  • Sách/Book

  • An Introduction to Real Analysis

    • Authors: Ravi P. Agarwal (2018)

  • This book provides a compact, but thorough, introduction to the subject of Real Analysis. It is intended for a senior undergraduate and for a beginning graduate one-semester course.
  • Sách/Book

  • Handbook of Discrete and Combinatorial Mathematics

    • Authors: Kenneth H. Rosen (2018)

  • Handbook of Discrete and Combinatorial Mathematics provides a comprehensive reference volume for mathematicians, computer scientists, engineers, as well as students and reference librarians.
  • Sách/Book

  • The Handbook of Multimodal-Multisensor Interfaces

    • Authors: Sharon Oviatt (2018)

  • This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces.
  • Sách/Book

  • Software engineering and algorithms in intelligent systems Volume 1

    • Authors: Radek Silhavy (2018)

  • This book presents new software engineering approaches and methods, discussing real-world problems and exploratory research that describes novel approaches, modern design techniques, hybrid algorithms and empirical methods. This book constitutes part of the refereed proceedings of the Software Engineering and Algorithms in Intelligent Systems Section of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held in April 2018.
  • Sách/Book

  • Artificial intelligence.

    • Authors: Zhi-Hua Zhou (2018)

  • This book constitutes the refereed proceedings of the First CCF International Conference on Artificial Intelligence, CCF-ICAI 2018, held in Jinan, China in August, 2018. The 17 papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on unsupervised learning, graph-based and semi-supervised learning, neural networks and deep learning, planning and optimization, AI applications.
  • Sách/Book

  • Python for R users : a data science approach

    • Authors: Ajay Ohri (2018)

  • The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations-complete with sample code-of R to Python and Python to R.
  • Sách/Book

  • Artificial Intelligence : Foundations of Computational Agents

    • Authors: David L. Poole (2018)

  • The new edition also features expanded coverage on machine learning material, as well as on the social and ethical consequences of AI and ML. The book balances theory and experiment, showing how to link them together, and develops the science of AI together with its engineering applications.
  • Sách/Book

  • Elementary statistics : a step by step approach

    • Authors: Allan G. Bluman (2018)

  • This text is aimed at students who do not have a mathematical background. It therefore uses a non-theoretical approach, and concepts are explained intuitively, without the use of formal proofs; they are instead supported by example.
  • Sách/Book

  • Digital analytics for marketing

    • Authors: Marshall Sponder (2018)

  • This comprehensive book provides students with a "grand tour" of the tools needed to measure digital activity and implement best practices for using data to inform marketing strategy. It is the first text of its kind to introduce students to analytics platforms from a practical marketing perspective.