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Paperback. Zustand: 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!
Verlag: J Vegetation Sci, 1990
Anbieter: Larry W Price Books, Portland, OR, USA
Magazin / Zeitschrift
Pamphlet. Zustand: Very Good. No 1, pp. 353-358, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, else VG.
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Anbieter: Dream Books Co., Denver, CO, USA
Zustand: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
Sprache: Englisch
Verlag: Cambridge, University Press 2007, 2008
ISBN 10: 0521705975 ISBN 13: 9780521705974
Anbieter: Antiquariaat Schot, Hendrik-Ido-Ambacht, Niederlande
(IX) 976 p. Paperback (Fine copy, incl. the accompanying CD in rear-pocket.).
blanda. Zustand: New. Zustand des Schutzumschlags: Nuevo. All our books are brand new. We ship worldwide.
blanda. Zustand: New. Zustand des Schutzumschlags: Nuevo. All our books are brand new. We ship worldwide.
Anbieter: Agapea Libros, Malaga, MA, Spanien
Zustand: New. Idioma/Language: Español. Los nuevos espacios virtuales universitarios constituyen nuevas formas de almacenamiento de contenidos digitales, ofreciendo el acceso de las reproducciones digitalizadas de material que podría estar protegido por los derechos de propiedad intelectual. Este libro recoge la visión de expertos de universidades españolas y portuguesas. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
EUR 42,70
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Sprache: Englisch
Verlag: Packt Publishing 12/26/2018, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Bayesian Analysis with Python - Second Edition. Book.
Anbieter: HPB-Red, Dallas, TX, USA
paperback. Zustand: 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!
Anbieter: Lucky's Textbooks, Dallas, TX, USA
EUR 42,26
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Anbieter: GreatBookPrices, Columbia, MD, USA
EUR 43,55
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Sprache: Englisch
Verlag: Packt Publishing 1/31/2024, 2024
ISBN 10: 1805127160 ISBN 13: 9781805127161
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling. Book.
Paperback. Zustand: Very Good. Paperback in very good condition. Light edge wear to covers. Clean pages free of writing, marks or tears. Binding is secure. No spine creases. Buy with confidence! 100% satisfaction guaranteed.
Zustand: New.
Anbieter: California Books, Miami, FL, USA
Zustand: New.
EUR 47,75
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Packt Publishing 11/25/2016, 2016
ISBN 10: 1785883801 ISBN 13: 9781785883804
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Bayesian Analysis with Python: Unleash the power and flexibility of the Bayesian framework. Book.
Sprache: Spanisch
Verlag: McGraw-Hill, 1994
Anbieter: Lauso Books, BARCELONA, B, Spanien
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EUR 48,37
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: GreatBookPrices, Columbia, MD, USA
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hardcover. Zustand: Good.
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Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 60,93
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In den WarenkorbPaperback. Zustand: New. Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key 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 PyMC3 Analyze probabilistic models with the help of ArviZ Acquire the skills required to sanity check models and modify them if necessary Understand 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 perspective Think 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.
Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2024
ISBN 10: 1805127160 ISBN 13: 9781805127161
Anbieter: Rarewaves USA, OSWEGO, IL, USA
Paperback. Zustand: New. Bayesian inference uses probability distributions and Bayes' theorem to build flexible models. This book uses PyMC to abstract all mathematical and computational details from this process, allowing readers to solve a range of data science problems.