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Bayesian Programming [Chapman & Hall/CRC Machine Learning & Pattern Recognition]

Description: Bayesian Programming [Chapman & Hall/CRC Machine Learning & Pattern Recognition] ISBN or UPC: 9781439880326 Book Condition: Used - Good Description: May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwill's nonprofit mission! Our customer's satisfaction is our top priority. In the event you experience any problems with your order, please contact us prior to leaving a negative or neutral feedback and we'll be sure to offer a speedy resolution to any issues that may arise. Stock photos may not be available on the eBay catalog for all listings. If you purchase an item that doesn't include a photo and it's not what you were expecting, please contact us, and we will take care of your concerns. SEATTLE GOODWILL'S MISSION: Goodwill® provides quality, effective employment training and basic education to individuals experiencing significant barriers to economic opportunity. Donations of quality reusable items from the public are sold in our retail stores and online. Net proceeds from the sale of these goods and financial donations from the community make it possible for us to operate our free job training programs. Your donations and purchases help support these important programs and make the community a better place for all of us.

Price: 51.41 USD

Location: Seattle, Washington

End Time: 2024-11-16T22:17:55.000Z

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Bayesian Programming [Chapman & Hall/CRC Machine Learning & Pattern Recognition]

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Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

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Number of Pages: 380 Pages

Publication Name: Bayesian Programming

Language: English

Publisher: CRC Press LLC

Item Height: 1 in

Subject: Machine Theory, Probability & Statistics / General, Statistics, Probability & Statistics / Bayesian Analysis, Discrete Mathematics

Publication Year: 2013

Item Weight: 24 Oz

Type: Textbook

Author: Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha, Juan-Manuel Ahuactzin

Subject Area: Mathematics, Computers, Business & Economics

Item Length: 9.3 in

Item Width: 6.4 in

Format: Hardcover

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