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Results 301-310 of 1488 (Search time: 0.084 seconds).
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  • Sách/Book

  • Computer Security and the Internet : Tools and Jewels

    • Authors: Paul C. van Oorschot (2020)

  • This book provides a concise yet comprehensive overview of computer and Internet security, suitable for a one-term introductory course for junior/senior undergrad or first-year graduate students.
  • Sách/Book

  • Business process management : models, techniques, and empirical studies

    • Authors: Wil van der Aalst (2000)

  • Business processes are one of the hottest topics nowadays in science and practice information system. Their management includes design and engineering efforts There are also later activities in the life cycle (eg, business process reengineering, continuity process improvement, exception handling, and change management). Recently Business Process Management publications look at the entire spectrum theoretical aspects, conceptual models and application scenarios, down Implementation issues.
  • Sách/Book

  • Natural language annotation for machine learning

    • Authors: James Pustejovsky (2013)

  • This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.
  • Sách/Book

  • Convex Analysis for Optimization (Graduate Texts in Operations Research)

    • Authors: Jan Brinkhuis (2020)

  • The book introduces a systematic three-step method for doing everything, which can be summarized as "conify, work, deconify". It starts with the concept of convex sets, their primal description, constructions, topological properties and dual description, and then moves on to convex functions and the fundamental principles of convex optimization and their use in the complete analysis of convex optimization problems by means of a systematic four-step method.
  • Sách/Book

  • Foundations of data science

    • Authors: Avrim Blum (2020)

  • This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing
  • Sách/Book

  • Complex variables and applications

    • Authors: James Ward Brown (2009)

  • This text serves as an introductory course in the theory and application of functions of a complex variable. The text is designed to develop the theory that is prominent in applications of the subject. Readers will find a special emphasis given to the application of residues and conformal mappings.
  • Sách/Book

  • Embedded Systems : Tutorialspoint simply easylearning

    • Authors: - (2015)

  • We can broadly define an embedded system as a microcontroller-based, software-driven, reliable, real-time control system, designed to perform a specific task. It can be thought of as a computer hardware system having software embedded in it. An embedded system can be either an independent system or a part of a large system. In this tutorial, we will explain all the steps necessary to design an embedded system and use it.