0 ratings
Item #:
103564563
Bayesian Analysis with Python: A practical guide to probabilistic modeling
87% of respondents would recommend this to a friend
Item #:
103564563
MYR 428
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
0 ratings
Tuliskan ulasan
Dalam stok
Diimport dari kedai UK
QTY:
Pesan sekarang dan dapatkannya lebih kurang pada Sabtu, Oktober 24
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 Insights
Offers hands-on approaches to Bayesian analysis, providing practical techniques that enable readers to apply probabilistic modeling in real-world scenarios effectively.
Comprehensive Coverage
Covers essential algorithms and models in-depth, ensuring readers gain a thorough understanding of both foundational and advanced Bayesian methods through clear explanations.
User-Friendly Format
Designed with clarity and accessibility in mind, making complex concepts approachable for learners and practitioners, enhancing their ability to implement Bayesian techniques confidently.
Maklumat produk
- 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 FeaturesConduct Bayesian data analysis with step-by-step guidanceGain insight into a modern, practical, and computational approach to Bayesian statistical modelingEnhance your learning with best practices through sample problems and practice exercisesPurchase of the print or Kindle book includes a free PDF eBook.Book DescriptionThe 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 requiredWhat you will learnBuild probabilistic models using PyMC and BambiAnalyze and interpret probabilistic models with ArviZAcquire the skills to sanity-check models and modify them if necessaryBuild better models with prior and posterior predictive checksLearn the advantages and caveats of hierarchical modelsCompare models and choose between alternative onesInterpret results and apply your knowledge to real-world problemsExplore common models from a unified probabilistic perspectiveApply the Bayesian framework's flexibility for probabilistic thinkingWho this book is forIf 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 ContentsThinking ProbabilisticallyProgramming ProbabilisticallyHierarchical ModelsModeling with LinesComparing ModelsModeling with BambiMixture ModelsGaussian ProcessesBayesian Additive Regression TreesInference EnginesWhere to Go Next
| Publisher | Packt Publishing |
| Publication date | 31 Jan. 2024 |
| Edition | 3rd |
| Language | English |
| Print length | 394 pages |
| ISBN-10 | 1805127160 |
| ISBN-13 | 978-1805127161 |
| Item weight | 676 g |
| Dimensions | 19.05 x 2.26 x 23.5 cm |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to leverage Bayesian methods for predictive analytics and decision-making.
-
Statistical Analysts
Statistical analysts seeking a practical approach to probabilistic modeling will find this guide valuable and informative.
-
Graduate Students
Graduate students in statistics or data science needing a comprehensive resource on Bayesian analysis techniques.
-
Beginners
Not suitable for absolute beginners in statistics or programming due to the complexity of Bayesian concepts.
PENERANGAN PRODUK
Ada sebarang Pertanyaan? Berbual dengan kami
Soalan & Jawapan Pelanggan
-
soalan:
Bagaimana untuk Membeli-belah Bayesian Analysis with Python: A practical guide to Dalam Talian Dari Ubuy?
jawab: Sangat mudah untuk membeli-belah Bayesian Analysis with Python: A practical guide to dalam talian daripada Ubuy.. Anda hanya perlu mencari produk, pilih kaedah penghantaran anda semasa mendaftar keluar dan hantar ke lokasi anda. -
soalan:
Adakah Bayesian Analysis with Python: A practical guide to Tersedia untuk Beli-belah Dalam Talian dalam Malaysia?
jawab: Ya, di Ubuy Malaysia produk ini tersedia untuk anda membeli-belah pada harga yang berpatutan.. Bayesian Analysis with Python: A practical guide to tidak tersedia secara tempatan tetapi anda boleh mempercayai kami dengan perkhidmatan penghantaran ekspres kami. -
soalan:
Berapa lama masa yang diperlukan untuk mendapatkan produk selepas membuat pesanan?
jawab: Masa penghantaran produk pesanan anda berbeza mengikut apa yang anda pesan dan kaedah penghantaran yang anda pilih.. Anggaran masa penghantaran dinyatakan semasa proses daftar keluar, jadi berhati-hati semasa membeli-belah.
Kajian Editorial
Tiada ulasan editorial ditemui
Customer Reviews & Ratings
35 rating pelanggan
-
5 bintang
77%
-
4 bintang
13%
-
3 bintang
10%
-
2 bintang
0%
-
1 bintang
0%
Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Product Price History
Maklumat penting
- Pengehadan: Untuk produk penghantaran antarabangsa, harap maklum bahawa sebarang jaminan pengeluar mungkin tidak sah; pilihan perkhidmatan pengeluar mungkin tidak tersedia; manual produk, arahan, dan amaran keselamatan mungkin tidak dalam bahasa negara destinasi; produk-produk (dan bahan-bahan berkaitannya) mungkin tidak direka selaras dengan standard negara destinasi, spesifikasi, dan syarat pelabelan; dan produk-produk itu mungkin tidak mematuhi kepada voltan negara destinasi dan lain-lain standard elektrik (memerlukan penggunaan adaptor atau penukar aliran jika perlu). Penerima adalah bertanggungjawab untuk memastikan bahawa produk itu boleh diimport selaras dengan undang-undang negara destinasi. Apabila memesan dari Ubuy atau pihak afiliasinya, si penerima adalah merupakan pengimport dalam rekod dan mesti mematuhi kepada semua undang-undang dan peraturan negara destinasi.
- Bukan semua produk yang tersenarai di Ubuy adalah untuk dijual, kerana Ubuy adalah enjin carian global. Produk-produk adalah tertakluk kepada peraturan eksport/perdagangan.
MYR 428
Pesan sekarang dan dapatkannya lebih kurang pada Sabtu, Oktober 24
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
Ciri & Faedah
- 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.