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Ajouter au panierEtat : good. All pages and cover are intact. Dust jacket included if applicable, though it may be missing on hardcover editions. Spine and cover may show minor signs of wear including scuff marks, curls or bends to corners as well as cosmetic blemishes including stickers. Pages may contain limited notes or highlighting. "From the library of" labels may be present. Shrink wrap, dust covers, or boxed set packaging may be missing. Bundled media e.g., CDs, DVDs, access codes may not be included.
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierPaperback. Etat : 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.
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 2018-12, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 45,12
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Ajouter au panierPF. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Packt Publishing, Limited, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. Print on Demand pp. 356.
Langue: anglais
Edité par Packt Publishing Limited, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 601.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 66,79
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : preigu, Osnabrück, Allemagne
EUR 60,45
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Ajouter au panierTaschenbuch. Etat : 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.