Bayesian Modeling and Computation in Python

Osvaldo A. Martin

ISBN 10: 036789436X ISBN 13: 9780367894368
Editorial: Taylor & Francis Ltd, 2021
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Descripción:

2021. 1st Edition. Hardcover. . . . . . N° de ref. del artículo V9780367894368

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Sinopsis:

Bayesian Modeling and Computation in Python aims to help beginner Bayesian practitioners to become intermediate modelers. It uses a hands on approach with PyMC3, Tensorflow Probability, ArviZ and other libraries focusing on the practice of applied statistics with references to the underlying mathematical theory.

Acerca del autor:

Osvaldo A. Martin is a Researcher at IMASL-CONICET in Argentina and the Department of Computer Science from Aalto University in Finland. He has a PhD in biophysics and structural bioinformatics. Over the years he has become increasingly interested in data analysis problems with a Bayesian flavor. He is especially motivated by the development and implementation of software tools for Bayesian statistics and probabilistic modeling.

Ravin Kumar is a Data Scientist at Google and previously worked at SpaceX and sweetgreen among other companies. He has an M.S in Manufacturing Engineering and a B.S in Mechanical Engineering. He found Bayesian statistics to be an excellent tool for modeling organizations and informing strategy. This interest in flexible statistical modeling led to a warm welcoming open source community which he is honored to be a member of now.

Junpeng Lao is a Data Scientist at Google. Prior to that he did his PhD and subsequently worked as a postdoc in Cognitive Neuroscience. He developed a fondness for Bayesian Statistics and generative modeling after working primarily with Bootstrapping and Permutation during his academic life.

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Detalles bibliográficos

Título: Bayesian Modeling and Computation in Python
Editorial: Taylor & Francis Ltd
Año de publicación: 2021
Encuadernación: Encuadernación de tapa dura
Condición: New
Edición: 1ª Edición

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Martin, Osvaldo A.; Kumar, Ravin; Lao, Junpeng
Publicado por Chapman and Hall/CRC, Boca Raton, 2021
ISBN 10: 036789436X ISBN 13: 9780367894368
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Librería: Feldman's Books, Menlo Park, CA, Estados Unidos de America

Calificación del vendedor: 5 de 5 estrellas Valoración 5 estrellas, Más información sobre las valoraciones de los vendedores

Hardcover. Condición: Fine. 1st Edition. Nº de ref. del artículo: 045764

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