BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Bayesian Reasoning And Machine Learning

Bayesian Reasoning And Machine Learning

Bayesian Reasoning And Machine Learning
Stock photo: cover may vary

Bayesian Reasoning And Machine Learning Hardback - 2012

by David Barber

Add to wish list
  • New
New

Description

new.
Ask the seller a question Add to wish list
A$154.73
A$5.79 Delivery within USA
Standard delivery: 2 to 14 days
More delivery options
Ships from GreatBookPrices (Maryland, United States)

Details

  • Title Bayesian Reasoning And Machine Learning
  • Author David Barber
  • Binding Hardback
  • Edition International Ed
  • Condition New
  • Pages 735
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2012-02-02
  • Features Bibliography, Index, Table of Contents, Textbook
  • Bookseller's Inventory # 11970769-n
  • ISBN 9780521518147 / 0521518148
  • Weight 3.8 lbs (1.72 kg)
  • Dimensions 9.8 x 7.7 x 1.5 in (24.89 x 19.56 x 3.81 cm)
  • Category Computers - General Information
  • Library of Congress subjects Bayesian statistical decision theory, Machine learning
  • Library of Congress Catalogue Number 2011035553
  • Dewey Decimal Code 006.31
  • Quantity available 5

About GreatBookPrices Maryland, United States

Biblio member since 2024

Since 1991, we have worked every day to serve our customers with state-of-the-art technology and world class service. We are dedicated to providing customers around the world with the widest selection of books, DVDs, and CDs at the absolute lowest price.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from GreatBookPrices

Reader reviews for Bayesian Reasoning And Machine Learning

From the publisher

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.
tracking-