The Probability Companion for Engineering and Computer Science
eBook - PDF

The Probability Companion for Engineering and Computer Science

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

The Probability Companion for Engineering and Computer Science

About this book

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overview for students.

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Yes, you can access The Probability Companion for Engineering and Computer Science by Adam Prügel-Bennett in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Contents
  6. Preface
  7. Nomenclature
  8. 1 Introduction
  9. 2 Survey of Distributions
  10. 3 Monte Carlo
  11. 4 Discrete Random Variables
  12. 5 The Normal Distribution
  13. 6 Handling Experimental Data
  14. 7 Mathematics of Random Variables
  15. 8 Bayes
  16. 9 Entropy
  17. 10 Collective Behaviour
  18. 11 Markov Chains
  19. 12 Stochastic Processes
  20. A Answers to Exercises
  21. B Probability Distributions
  22. Bibliography
  23. Index