Search

Search Results

Results 51-60 of 152 (Search time: 0.096 seconds).
Item hits:
  • 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: 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.

  • Sách/Book


  • Authors: William Boyce (2019)

  • The 10th edition of Elementary Differential Equations and Boundary Value Problems , like its predecessors, is written from the viewpoint of the applied mathematician, whose interest in differential equations may sometimes be quite theoretical, sometimes intensely practical, and often somewhere in between.

  • Sách/Book


  • Authors: Achim Doerre (2019)

  • This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods.

  • Sách/Book


  • Authors: Kenneth B. Howell (2019)

  • The Second Edition of Ordinary Differential Equations: An Introduction to the Fundamentals builds on the successful First Edition. It is unique in its approach to motivation, precision, explanation and method. Its layered approach offers the instructor opportunity for greater flexibility in coverage and depth.

  • Sách/Book


  • Authors: Alan Agresti (2019)

  • Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.

  • Sách/Book


  • Authors: Hobson Lane (2019)

  • Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and expand their machine's knowledge which they can then apply to a range of challenges.