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EUR 7,62
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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.
Vendeur : Goodwill Books, Hillsboro, OR, Etats-Unis
EUR 15,48
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Ajouter au panierEtat : acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
Vendeur : clickgoodwillbooks, Indianapolis, IN, Etats-Unis
EUR 15,48
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Ajouter au panierEtat : acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.
EUR 36,19
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Ajouter au panierPaperback. Etat : 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.
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 42,80
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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!
EUR 44,15
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 12/26/2018, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 46,50
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Ajouter au panierPaperback or Softback. Etat : New. Bayesian Analysis with Python - Second Edition. Book.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 45,02
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 1/31/2024, 2024
ISBN 10 : 1805127160 ISBN 13 : 9781805127161
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 47,37
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Ajouter au panierPaperback or Softback. Etat : New. Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling. Book.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 47,90
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 48,79
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 48,59
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 48,89
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 49,39
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 11/25/2016, 2016
ISBN 10 : 1785883801 ISBN 13 : 9781785883804
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 51,74
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Ajouter au panierPaperback or Softback. Etat : New. Bayesian Analysis with Python: Unleash the power and flexibility of the Bayesian framework. Book.
EUR 54,11
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 55,96
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Ajouter au panierPaperback. Etat : 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.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2024
ISBN 10 : 1805127160 ISBN 13 : 9781805127161
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
EUR 56,95
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Ajouter au panierPaperback. Etat : 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.
EUR 56,80
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2024
ISBN 10 : 1805127160 ISBN 13 : 9781805127161
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 59,45
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Ajouter au panierPaperback. Etat : 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.
Langue: anglais
Edité par Packt Publishing Limited, GB, 2023
ISBN 10 : 1785883801 ISBN 13 : 9781785883804
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 59,65
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Ajouter au panierDigital. Etat : New. Unleash the power and flexibility of the Bayesian frameworkAbout This Book. Simplify the Bayes process for solving complex statistical problems using Python; . Tutorial guide that will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises; . Learn how and when to use Bayesian analysis in your applications with this guide.Who This Book Is ForStudents, researchers and data scientists who wish to learn Bayesian data analysis with Python and implement probabilistic models in their day to day projects. Programming experience with Python is essential. No previous statistical knowledge is assumed.What You Will Learn. Understand the essentials Bayesian concepts from a practical point of view. Learn how to build probabilistic models using the Python library PyMC3. Acquire the skills to sanity-check your models and modify them if necessary. Add structure to your models and get the advantages of hierarchical models. Find out how different models can be used to answer different data analysis questions . When in doubt, learn to choose between alternative models. Predict continuous target outcomes using regression analysis or assign classes using logistic and softmax regression. Learn how to think probabilistically and unleash the power and flexibility of the Bayesian frameworkIn DetailThe purpose of this book is to teach the main concepts of Bayesian data analysis. We will learn how to effectively use PyMC3, a Python library for probabilistic programming, to perform Bayesian parameter estimation, to check models and validate them. This book begins presenting the key concepts of the Bayesian framework and the main advantages of this approach from a practical point of view. Moving on, we will explore the power and flexibility of generalized linear models and how to adapt them to a wide array of problems, including regression and classification. We will also look into mixture models and clustering data, and we will finish with advanced topics like non-parametrics models and Gaussian processes. With the help of Python and PyMC3 you will learn to implement, check and expand Bayesian models to solve data analysis problems.Style and approachBayes algorithms are widely used in statistics, machine learning, artificial intelligence, and data mining. This will be a practical guide allowing the readers to use Bayesian methods for statistical modelling and analysis using Python.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 47,73
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Packt Publishing 2018-12, 2018
ISBN 10 : 1789341655 ISBN 13 : 9781789341652
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 45,58
Quantité disponible : 10 disponible(s)
Ajouter au panierPF. Etat : New.
EUR 52,47
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Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 47,72
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 65,06
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 67,41
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Packt Publishing 2016-11-25, 2016
ISBN 10 : 1785883801 ISBN 13 : 9781785883804
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 50,43
Quantité disponible : 10 disponible(s)
Ajouter au panierPaperback. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 50,47
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 53,79
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Ajouter au panierEtat : As New. Unread book in perfect condition.