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- 760 pages
- 27 hours of reading
More about the book
Focusing on the Bayesian perspective, this textbook on pattern recognition introduces approximate inference algorithms that provide rapid solutions when exact calculations are impractical. It effectively utilizes graphical models to illustrate probability distributions, making complex concepts more accessible. This innovative approach sets it apart as a foundational resource in the field.
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Pattern Recognition and Machine Learning, Christopher Bishop
- Language
- Released
- 2016
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Pattern Recognition and Machine Learning
- Language
- English
- Authors
- Christopher Bishop
- Publisher
- Springer New York
- Released
- 2016
- Format
- Paperback
- Pages
- 760
- ISBN13
- 9781493938438
- Series
- Tags
- Non-Fiction, Textbooks, Technology & Engineering, Computers & Internet, Science, Technology, Math Textbooks, Artificial Intelligence
- Rating
- 4.3 out of 5
- Description
- Focusing on the Bayesian perspective, this textbook on pattern recognition introduces approximate inference algorithms that provide rapid solutions when exact calculations are impractical. It effectively utilizes graphical models to illustrate probability distributions, making complex concepts more accessible. This innovative approach sets it apart as a foundational resource in the field.