Bessiere, Pierre
Bayesian Programming (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
- ISBN 13:
- 9781032477404
- author:
- Bessiere, Pierre
- format:
- Paperback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2023
- Pages:
- 384
- Dimensions:
- 23.4 x 15.4 x 2.2 centimetres (0
- Genre:
- Professional & Vocational, Business, Operations,
- Condition:
- New
- supplier_id:
- 9
- Availability:
- Item usually sent within 10 working days
Description
Bayesian Programming: A New Approach to Handling Incomplete and Uncertain Data This book presents a new methodology for building subjective probabilistic models, providing an alternative framework to deal with incomplete and uncertain data in real-world applications. By emphasizing probability as an alternative to Boolean logic, the authors introduce principles and modeling techniques that can be applied to various fields. The book covers the application of Bayesian programming in different areas, including finance, email filtering, and more, through numerous simple examples. It also discusses good practices for probabilistic modeling and introduces a formalism for Bayesian inference algorithms. With Python examples and an accompanying interpreter, readers can experiment with this new approach to programming. Written by experts in the field, this book is designed to be accessible to those with a basic foundation in mathematics. The authors' goal is to provide a comprehensive understanding of Bayesian programming, making it a valuable resource for professionals and researchers alike.