0 ratings
artikal br.:
103564563
Bayesian Analysis with Python: A practical guide to probabilistic modeling
artikal br.:
103564563
RSD 7882
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from UK
0 ratings
Napišite recenziju
На лагеру
Uvezeno iz UK prodavnice
QTY:
Naručite sada i dobijte oko Sunday, Oktobar 25
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
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
Детаљи о производу
- 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 |
OPIS PROIZVODA
Bayesian Analysis with Python: A practical guide to probabilistic modeling
Imate li upita? Razgovarajte sa nama
Питања и одговори купаца
-
Pitanje:
Како купити Bayesian Analysis with Python: A practical guide to на мрежи од Убуи-а?
Odgovor: Лако је куповати Bayesian Analysis with Python: A practical guide to на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију. -
Pitanje:
Да ли је Bayesian Analysis with Python: A practical guide to доступан за онлајн куповину у Serbia?
Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Bayesian Analysis with Python: A practical guide to није доступан локално, али можете нам веровати у наше услуге експресне испоруке. -
Pitanje:
Колико времена је потребно да се производ добије након наручивања?
Odgovor: Време испоруке вашег нарученог производа варира у зависности од тога шта сте наручили и начина испоруке који сте изабрали.. Процењено време испоруке се помиње током процеса плаћања, па будите безбрижни док купујете.
Едиториал Ревиев
Није пронађена ниједна уредничка рецензија
Customer Reviews & Ratings
35 recenzije kupaca
-
5 zvezda
77%
-
4 zvezda
13%
-
3 zvezda
10%
-
2 zvezda
0%
-
1 zvezda
0%
Ocenite ovaj proizvod
Podelite svoja razmišljanja sa drugim kupcima
Product Price History
Važna informacija
- Ograničenja: Za proizvode koji se isporučuju međunarodno, imajte na umu da garancija proizvođača možda neće biti važeća; opcije servisiranja proizvođača možda neće biti dostupne; priručnici za proizvode, uputstva i upozorenja o bezbednosti možda nisu na jezicima zemlje odredišta; proizvodi (i prateći materijali) ne moraju biti dizajnirani u skladu sa standardima zemlje odredišta, specifikacijama i zahtevima za označavanje; a proizvodi možda nisu u skladu sa naponom zemlje odredišta i drugim električnim standardima (zahteva se upotreba adaptera ili pretvarača ako je potrebno). Primalac je odgovoran za osiguranje da se proizvod može zakonito uvesti u odredišnu zemlju. Prilikom naručivanja od kompanije Ubuy ili njegovih podružnica, primalac je nadležni uvoznik i mora se pridržavati svih zakona i propisa zemlje odredišta.
- Nisu svi proizvodi navedeni na Ubuy-u na prodaju, jer je Ubuy globalni pretraživač. Proizvodi podležu izvoznim/trgovačkim propisima.
RSD 7882
Naručite sada i dobijte oko Sunday, Oktobar 25
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
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.