Lambar abu:
142522078
Bayesian Analysis with Python: A practical guide to probabilistic modeling
85% of respondents would recommend this to a friend
Lambar abu:
142522078
XAF 40656
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from EU
0 ratings
Rubuta bita
A Stock
An shigo da shi daga kantin EU
QTY:
Yi Oda yanzu, a samu nan da Sunday, Oktoba 11
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
Bayanin samfur
- 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 |
KWATANCEN ABUN
Bayesian Analysis with Python: A practical guide to probabilistic modeling
Kuna da wata tambaya? Yi taɗi da mu
Tambayoyi & Amsoshi Abokin Ciniki
-
Tambaya:
Yadda ake Siyayya Bayesian Analysis with Python: A practical guide to Kan layi Daga Ubuy?
Amsa: Yana da sauƙi don siyayya Bayesian Analysis with Python: A practical guide to akan layi daga Ubuy.. Dole ne kawai ku nemo samfurin, zaɓi hanyar jigilar kaya yayin dubawa kuma a kai shi wurin da kuke. -
Tambaya:
Ana samun Bayesian Analysis with Python: A practical guide to don siyayya akan layi a cikin Chad?
Amsa: Ee, a Ubuy Chad wannan samfurin yana samuwa gare ku don siyayya akan farashi mai ma'ana.. Ba a samun Bayesian Analysis with Python: A practical guide to a cikin gida amma kuna iya amincewa da mu da ayyukan jigilar mu na yau da kullun. -
Tambaya:
Yaya tsawon lokacin da ake ɗauka don samun samfur bayan Sanya oda?
Amsa: Lokacin isar da samfurin da aka umarce ku ya bambanta gwargwadon abin da kuka yi oda da hanyar jigilar kaya da kuka zaɓa.. An ambaci lokacin isar da kiyasin yayin aiwatar da biyan kuɗi, don haka a kula yayin sayayya.
English edition Osvaldo Martin Format: Paperback Editorial Review
Ba a sami sake dubawa na edita ba
Customer Reviews & Ratings
1 Ƙimar da abokan ciniki suka bayar
-
5 Tauraruwa
100%
-
4 Tauraruwa
0%
-
3 Tauraruwa
0%
-
2 Tauraruwa
0%
-
1 Tauraruwa
0%
Yi bitar akan wannan Samfurin
Faɗan wa sauran Abokan ciniki ra'ayin ka
Product Price History
Sanarwa mai amfani
- Iyakoki: Don Abubuwan da aka yi sufurin su daga ƙasashen waje, a lura da cewa garanti ɗin mai ƙira ba lallai ya yi aiki ba; wajan neman taimakon mai ƙira ba lallai ya samu ba; kuma Littafin Sanin yanda abu yake aiki, hanyoyin tsaro da umarni ba lallai ya kasance a yaren ƙasar mai siya ba; Samfurin kaya (da sauran kayan haɗi) ba lallai ne an ƙera su a bisa tsarin ƙasar da za a kaya kayan ba, da ƙayyadaddun bayanai, ko dokar yin alama ko laƙabi; kuma ba lallai bane samfuran kayan su dace da ma'aunin wutar lantarki na voltage ɗin kasar da sauran dokokin ƙasa na wutar lantarki (wanda za'a buƙaci amfani da na'urar adafta ko na'urar canza launi idan ya dace). Mai karɓar kaya shi/ita ke da alhakin tabbatar da cewa samfurin da aka siya za'a iya shigo da shi ƙasar da za'a kai a bisa dokar ƙasar. A yayin yin oda daga Ubuy ko masu alaƙa da su, mai karɓar oda ne mai shigo da kaya, kuma dole ya/ta tabbarar da cewa ya/ta bi duka dokokin ƙasar da za'a kai kayan.
- Ba dukkan abubuwan da aka saka a kan Ubuy bane na sayar wa, don Ubuy wajen bincike ne na duk duniya. Duk wani Samfurin abu yana da dokokin shige da fice na ƙasashe da kuma dokokin siye da sayar wa.
XAF 40656
Yi Oda yanzu, a samu nan da Sunday, Oktoba 11
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.