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Paramètres
- 760pages
- 27 heures de lecture
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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.
Achat du livre
Pattern Recognition and Machine Learning, Christopher M. Bishop
- Langue
- Année de publication
- 2016
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- (souple)
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- Langue
- Anglais
- Auteurs
- Christopher M. Bishop
- Éditeur
- Springer New York
- Publié
- 2016
- Format
- souple
- Pages
- 760
- ISBN13
- 9781493938438
- Séries
- Mots clés
- Nonfiction, Manuels, Technologie & Ingénierie, Informatique & Internet, Science, Technologie, Manuels de mathématiques, Intelligence Artificielle
- Évaluation
- 4,3 sur 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.