Item #:
142522078
Bayesian Analysis with Python: A practical guide to probabilistic modeling
85% of respondents would recommend this to a friend
Item #:
142522078
DZD 8882
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from EU
In stock
Imported from EU store
QTY:
Order now and get it around Friday, October 09
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
You will possess a functional understanding of probabilistic modeling, enabling you to design and implement Bayesian models for your data science challenges.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Practical Approach
Focuses on hands-on techniques and real-world applications, making complex Bayesian concepts accessible for practitioners and learners alike.
Comprehensive Coverage
Covers a wide range of topics in probabilistic modeling, ensuring a solid understanding of both foundational theories and advanced methods.
Python Integration
Utilizes Python for implementations, allowing readers to effectively use practical tools and libraries for their own Bayesian analysis projects.
Product Details
- Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these libraries. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Conduct Bayesian data analysis with step-by-step guidance Gain insight into a modern, practical, and computational approach to Bayesian statistical modeling Enhance your learning with best practices through sample problems and practice exercises Purchase of the print or Kindle book includes a free PDF eBook. Book Description The third edition of Bayesian Analysis with Python serves as an introduction to the main concepts of applied Bayesian modeling using PyMC, a state-of-the-art probabilistic programming library, and other libraries that support and facilitate modeling like ArviZ, for exploratory analysis of Bayesian models; Bambi, for flexible and easy hierarchical linear modeling; PreliZ, for prior elicitation; PyMC-BART, for flexible non-parametric regression; and Kulprit, for variable selection. In this updated edition, a brief and conceptual introduction to probability theory enhances your learning journey by introducing new topics like Bayesian additive regression trees (BART), featuring updated examples. Refined explanations, informed by feedback and experience from previous editions, underscore the book's emphasis on Bayesian statistics. You will explore various models, including hierarchical models, generalized linear models for regression and classification, mixture models, Gaussian processes, and BART, using synthetic and real datasets. By the end of this book, you’ll understand probabilistic modeling and be able to design and implement Bayesian models for data science, with a strong foundation for more advanced study. *Email sign-up and proof of purchase required What you will learn Build probabilistic models using PyMC and Bambi Analyze and interpret probabilistic models with ArviZ Acquire the skills to sanity-check models and modify them if necessary Build better models with prior and posterior predictive checks Learn the advantages and caveats of hierarchical models Compare models and choose between alternative ones Interpret results and apply your knowledge to real-world problems Explore common models from a unified probabilistic perspective Apply the Bayesian framework's flexibility for probabilistic thinking Who this book is for If you are a student, data scientist, researcher, or 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 scientific libraries like NumPy is expected. Table of Contents Thinking Probabilistically Programming Probabilistically Hierarchical Models Modeling with Lines Comparing Models Modeling with Bambi Mixture Models Gaussian Processes Bayesian Additive Regression Trees Inference Engines Where to Go Next
| Publisher | Packt Publishing |
| Publication date | 31 Jan. 2024 |
| Edition | 3. |
| Language | English |
| Print length | 394 pages |
| ISBN-10 | 1805127160 |
| ISBN-13 | 978-1805127161 |
| Dimensions | 19.05 x 2.26 x 23.5 cm |
Who Should Buy?
-
Data Science Students
Ideal for students learning advanced data analysis, offering practical applications of Bayesian methods in Python.
-
Statistical Researchers
Benefits researchers needing a practical guide for probabilistic modeling, enhancing their statistical analysis skills.
-
Machine Learning Practitioners
Perfect for ML professionals interested in incorporating Bayesian techniques into their predictive modeling workflows.
-
Beginner Programmers
May be too advanced for those new to programming or Python, lacking foundational knowledge for understanding the content.
Product Description
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
Is prior statistical knowledge necessary to use this book?
Answer: No, the book is introductory and requires no previous statistical knowledge. -
Question:
What Python libraries are covered in this book?
Answer: The book covers PyMC, ArviZ, Bambi, and more for Bayesian modeling. -
Question:
Can I access an eBook version of the book?
Answer: Yes, the purchase of the print or Kindle book includes a free PDF eBook.
English edition Osvaldo Martin Format: Paperback Editorial Review
No editorial reviews found
Customer Reviews & Ratings
1 customers ratings
-
5 Star
100%
-
4 Star
0%
-
3 Star
0%
-
2 Star
0%
-
1 Star
0%
Review this product
Share your thoughts with other customers
Pros
- Clear and practical instructions
- Comprehensive coverage of topics
- Useful examples and applications
- Engaging writing style
- Great for beginners and experts
Cons
- Some advanced topics may require prior knowledge.
Platform Trust & Buyer Confidence
JK
Jasmin
Verified buyer
“Great products and very good service: very easy and very fast international delivery.”
9 September 2026 · via Trustpilot
AG
Anke
Verified buyer
“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”
10 September 2026 · via Trustpilot
H
Hazel
Verified buyer
“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”
10 September 2026 · via Trustpilot
O
Opaleye
Verified buyer
“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”
11 September 2026 · via Trustpilot
AC
Adele
Verified buyer
“Easy to find and order what you want on the website. Delivery is quick to the UK”
8 September 2026 · via Trustpilot
Secure Checkout
Global Delivery
Easy Returns
Genuine Products
Product Price History
Important information
- Limitations : For products shipped internationally, please note that any manufacturer warranty may not be valid; manufacturer service options may not be available; product manuals, instructions, and safety warnings may not be in destination country languages; the products (and accompanying materials) may not be designed in accordance with destination country standards, specifications, and labeling requirements; and the products may not conform to destination country voltage and other electrical standards (requiring use of an adapter or converter if appropriate). The recipient is responsible for assuring that the product can be lawfully imported to the destination country. When ordering from Ubuy or its affiliates, the recipient is the importer of record and must comply with all laws and regulations of the destination country.
- Not all the products listed on Ubuy are for sale, as Ubuy is a global search engine. Products are subject to export/trade regulations.
DZD 8882
Order now and get it around Friday, October 09
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
Features & Benefits
- Learn Bayesian modeling with state-of-the-art Python libraries.
- Step-by-step guidance for conducting Bayesian data analysis.
- Enhanced learning with sample problems and practice exercises.
- Includes free PDF eBook with purchase of print or Kindle version.
- Explore various models, including hierarchical and generalized linear models.
- No prior statistical knowledge required; ideal for beginners and professionals.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.