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  • Sách/Book


  • 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


  • 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


  • Authors: Beth Tondreau (2019)

  • This book will outline and demonstrate basic layout/grid guidelines and rules through 100 entries including choosing the a typeface for the project, striving for rhythm and balance with type, combining typefaces, using special characters and kerning and legibility. These essentials of grid design are critical to the success of any job.

  • Sách/Book


  • 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.

  • Sách/Book


  • Authors: David Machin (-)

  • Renamed from the first edition, Visual Thinking for Design, to more accurately reflect its focus on infographics, this timely revision has been updated throughout and includes more content on pattern perception, the addition of new material illustrating color assimilation, and a new chapter devoted to communicating ideas through images

  • Sách/Book


  • Authors: Joseph F. Hair (-)

  • The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.

  • Sách/Book


  • Authors: Susanna S. Epp (2019)

  • DISCRETE MATHEMATICS WITH APPLICATIONS, 5th Edition, explains complex, abstract concepts with clarity and precision and provides a strong foundation for computer science and upper-level mathematics courses of the computer age. Author Susanna Epp presents not only the major themes of discrete mathematics.