Hero image 0 of Pre-Owned Pattern Recognition and Machine Learning (Hardcover 9780387310732) by Christopher M Bishop, 0 of 1

Christopher M Bishop

Pre-Owned Pattern Recognition and Machine Learning (Hardcover 9780387310732) by Christopher M Bishop

Name: Pre-Owned Pattern Recognition and Machine Learning (Hardcover 9780387310732) by Christopher M Bishop
Brand: Christopher M Bishop
SKU: 2938436833
Price: 46.6 USD
Availability: InStock

(No ratings yet)

Condition

Pre-Owned: Good

Seller Rating

4.6 out of 5 stars

10714 reviews

Key item features

Pre-Owned Pattern Recognition and Machine Learning (Hardcover 9780387310732) by Christopher M Bishop

Specs

Book format
Hardcover
Fiction/nonfiction
Non-Fiction
Pages
738
Edition
2nd Printing 2011
Publisher
Springer
Original languages
English

Current price is $46.60

Price when purchased online

Free shipping
Free 30-day returns

Pre-Owned: Good

How do you want your item?

Columbus, 43215

Arrives between Apr 17 - Apr 20

Sold and shipped by Alibris Books

4.564308381556842 stars out of 5, based on 10714 seller reviews(4.6)

Report an issue with this seller

Free 30-day returns

About this item

Product details

9780387310732. Pre-Owned: Good condition. Hard cover. 2006. Corr. 2nd Printing 2011 ed. Language: English. Pages: 738. Sewn binding. Paper over boards. 738 p. Information Science and Statistics. This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Pre-Owned Pattern Recognition and Machine Learning (Hardcover 9780387310732) by Christopher M Bishop

info:

We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here, and we have not verified it.

What is Pre-Owned: Good?

Has been read and shows minimal signs of wear like an owner's inscription or foxing, but no tearing and all pages are present.

What is the Walmart Pre-Owned Program?

Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.

See here for additional details & specific condition qualifications.

Why Walmart Pre-Owned?

Trusted sellers & quality items

Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.

Quality you can afford

Save even more on top brands & your most-loved items.

30-day free returns

Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability

Shopping Pre-Owned helps in extending the life of an item & reducing waste.

Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.

Specifications

Book format

Hardcover

Fiction/nonfiction

Non-Fiction

Pages

738

Subgenre

Information Science and Statistics

Warranty

Warranty information

Please be aware that the warranty terms on items offered for sale by third party Marketplace sellers may differ from those displayed in this section (if any). To confirm warranty terms on an item offered for sale by a third party Marketplace seller, please use the 'Contact seller' feature on the third party Marketplace seller's information page and request the item's warranty terms prior to purchase.