Bayesian Programming by Pierre Bessiere
A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It emphasizes probability as an alternative to Boolean logic, covering new m-
Machine Learning
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Deep and Shallow
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A First Course in Machine Learning
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Data Science and Machine Learning
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Multilinear Subspace Learning
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Regularization, Optimization, Kernels, and Support Vector Machines
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Deep Learning and Linguistic Representation
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Machine Learning, Animated
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Statistical Reinforcement Learning
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Sparse Modeling
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Entropy Randomization in Machine Learning
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Introduction to Machine Learning with Applications in Information Security
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The Pragmatic Programmer for Machine Learning
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A Concise Introduction to Machine Learning
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Ensemble Methods
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Artificial Intelligence and Causal Inference
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Transformers for Machine Learning
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Handbook of Natural Language Processing
"Bayesian Programming comprises a methodology, a programming language, and a set of tools for developing and applying … complex models… The approach is described in great detail, with many worked examples backed up by an online code repository. Unlike other books that tend to focus almost entirely on mathematics, this one gives equal time to conceptual and methodological guidance for the model-builder. It grapples with the knotty problems that arise in practice, some of which do not yet have clear solutions."
—From the Foreword by Stuart Russell, University of California, Berkeley
"The book has many worked examples backed up by an online code repository. The book provides a contibution on conceptual and methodological guidelines for model-builders. The authors discuss the problem how to build a Bayesian computer. The book has an excellent bibliography."
—Nirode C. Mohanty, in Zentralblatt MATH 1281
Pierre Bessiere is with CNRS, the French National Centre for Scientific Research. Juan-Manuel Ahuactzin, Kamel Mekhnacha, and Emmanuel Mazer are with Probayes Inc., France.
| SKU | Unavailable |
| ISBN 13 | 9781032477404 |
| ISBN 10 | 1032477407 |
| Title | Bayesian Programming |
| Author | Pierre Bessiere |
| Series | Chapman And Hall Crc Machine Learning And Pattern Recognition |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2023-01-21 |
| Number of pages | 384 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |