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Chapman and Hall/CRC - Bayesian Statistical Methods: With Applications to Machine Learning

Chapman and Hall/CRC - Bayesian Statistical Methods: With Applications to Machine Learning

Product Description

This volume presents Bayesian approaches applied to machine learning, offering a focused treatment of statistical methods within a modern computational context. The second edition, in hardcover, covers foundational concepts and practical techniques for implementing Bayesian inference in machine learning tasks. With 360 pages, it serves as a reference for students and practitioners looking to connect probabilistic modelling with algorithmic applications. The work situates Bayesian methods within econometric and statistical science perspectives, providing rigorous methodology alongside relevant applications and examples.

Product Details
PublisherChapman and Hall/CRC
SeriesTexts in Statistical Science
SubjectBayesian statistics, machine learning, econometrics
FormatHardcover
Edition2nd
Details
  • Format: Hardcover
  • Edition: 2
  • Pages: 360
Advantages
  • Clear connection between Bayesian theory and machine learning practice
  • Second edition; updated content and examples
  • Concise 360-page reference suitable for coursework and self-study
Disadvantages
  • Assumes familiarity with statistical concepts and Bayesian terminology
  • Specialist focus may be dense for readers seeking a broad introduction
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