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Bayesian Analysis Python by Martin Osvaldo (75 results)
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Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
Published by Packt Publishing (edition 2nd ed.), 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Language: English
Paperback. Condition: As New. 2nd ed. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
Seller: Goodwill of Colorado, COLORADO SPRINGS, CO, U.S.A.
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paperback. Condition: Used: Very Good. 2nd ed. Clean and unmarked. Some minor cosmetic shelf wear. From a private collection. Very good condition. Comes from non smoking home.
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Paperback. Condition: 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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Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Add to basketPaperback. Condition: 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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paperback. Condition: 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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Paperback. Condition: 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.
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Bayesian Analysis with Python - Second Edition (Paperback or Softback)
Published by Packt Publishing 12/26/2018, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Language: English
Paperback or Softback. Condition: New. Bayesian Analysis with Python - Second Edition 1.35. Book.
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Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling (Paperback or Softback)
Published by Packt Publishing 1/31/2024, 2024
ISBN 10: 1805127160 ISBN 13: 9781805127161
Language: English
Paperback or Softback. Condition: New. Bayesian Analysis with Python - Third Edition: A practical guide to probabilistic modeling 1.49. Book.
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Bayesian Analysis with Python: Unleash the power and flexibility of the Bayesian framework (Paperback or Softback)
Published by Packt Publishing 11/25/2016, 2016
ISBN 10: 1785883801 ISBN 13: 9781785883804
Language: English
Paperback or Softback. Condition: New. Bayesian Analysis with Python: Unleash the power and flexibility of the Bayesian framework 1.08. Book.
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Bayesian Analysis with Python
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Language: English
Paperback. Condition: 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.
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Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 55.70
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Bayesian Analysis with Python
Published by Packt Publishing Limited, GB, 2024
ISBN 10: 1805127160 ISBN 13: 9781805127161
Language: English
Paperback. Condition: 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.
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Bayesian Analysis with Python - Second Edition : Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ
Published by Packt Publishing 2018-12, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Language: English
US$ 53.43
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Bayesian Analysis with Python
Published by Packt Publishing Limited, GB, 2018
ISBN 10: 1789341655 ISBN 13: 9781789341652
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 72.81
Convert currencyFree shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: 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.
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Bayesian Analysis with Python - Second Edition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 55.69
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Bayesian Analysis with Python: A practical guide to probabilistic modeling
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 60.45
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