Bayesian Reasoning and Machine Learning
eBook - PDF

Bayesian Reasoning and Machine Learning

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

Bayesian Reasoning and Machine Learning

About this book

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

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Yes, you can access Bayesian Reasoning and Machine Learning by David Barber in PDF and/or ePUB format, as well as other popular books in Informatica & Visione artificiale e riconoscimento di schemi. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. List of notation
  7. BRMLTOOLBOX
  8. I Inference in probabilistic models
  9. II Learning in probabilistic models
  10. III Machine learning
  11. IV Dynamical models
  12. V Approximate inference
  13. Appendix A: Background mathematics
  14. References
  15. Index