Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: HPB-Red, Dallas, TX, U.S.A.
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!
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Condition: very_good.
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: Seattle Goodwill, Seattle, WA, U.S.A.
paperback. Condition: Good.
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: Seattle Goodwill, Seattle, WA, U.S.A.
paperback. Condition: Very Good.
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: The Maryland Book Bank, Baltimore, MD, U.S.A.
First Edition
paperback. Condition: Very Good. 1st Edition. Used - Very Good.
Seller: Books in my Basket, New Delhi, India
Soft cover. Condition: New. ISBN:9789353063641,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Seller: SMASS Sellers, IRVING, TX, U.S.A.
Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Seller: UK BOOKS STORE, London, LONDO, United Kingdom
Paperback. Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new.
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 226 pages. 7.00x9.50x0.50 inches. In Stock.
Published by Addison-Wesley Professional, 2015
ISBN 10: 0133902838 ISBN 13: 9780133902839
Language: English
Seller: ReviBlio, Barcelona, B, Spain
First Edition
Condition: Good. This book is a game-changing approach to Bayesian inference and probabilistic programming. The book's core strength lies in its computational-first, mathematics-second philosophy. Unlike traditional statistics texts that bury the reader in proofs and abstract notation. The book demystifies complex topics like the Markov Chain Monte Carlo (MCMC) algorithm, showing the reader how computers sample from posterior distributions rather than relying on analytical solutions. The "hacker" approach emphasizes intuition and implementation over theoretical rigor, making it incredibly effective for software engineers, data scientists, or anyone with a programming background looking to understand how to quantify uncertainty in their models. Key concepts like defining a prior, likelihood, and posterior are introduced clearly through practical scenarios, such as A/B testing and inferring change-points in data. While the book is an exceptional starting point for practical application, readers seeking a deep, theoretical understanding of the underlying mathematical statistics may need to follow up with a more rigorous text. However, for those who want to rapidly build and deploy flexible, uncertainty-aware models right now, this book is essential. It truly bridges the gap between Bayesian theory and data science practice.