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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: California Books, Miami, FL, Estados Unidos de America
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 61,92
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Añadir al carritoCondición: New. pp. 356 2nd edition.
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Añadir al carritoCondición: New. 2018. 2nd Edition. paperback. . . . . .
Idioma: Inglés
Publicado por Packt Publishing 2018-12-26, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand pp. 356.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 356 pages. 9.13x7.48x0.87 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 58,54
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 356.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZKey FeaturesA step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZA modern, practical and computational approach to Bayesian statistical modelingA tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises.Book DescriptionThe second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models.The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others.By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to.What you will learnBuild probabilistic models using the Python library PyMC3Analyze probabilistic models with the help of ArviZAcquire the skills required to sanity check models and modify them if necessaryUnderstand the advantages and caveats of hierarchical modelsFind out how different models can be used to answer different data analysis questionsCompare models and choose between alternative onesDiscover how different models are unified from a probabilistic perspectiveThink probabilistically and benefit from the flexibility of the Bayesian frameworkWho this book is forIf you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory so no previous statistical knowledge is required, although some experience in using Python and NumPy is expected.
Librería: preigu, Osnabrück, Alemania
EUR 63,90
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Bayesian Analysis with Python - Second Edition | Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ | Osvaldo Martin | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Packt Publishing | EAN 9781789341652 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.