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Bayesian Reasoning and Machine Learning Hardcover - 2012
by David Barber
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- Title Bayesian Reasoning and Machine Learning
- Author David Barber
- Binding Hardcover
- Edition International Ed
- Pages 735
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Date 2012-03
- Features Bibliography, Index, Table of Contents, Textbook
- 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)
- Library of Congress subjects Bayesian statistical decision theory, Machine learning
- Library of Congress Catalog Number 2011035553
- Dewey Decimal Code 006.31
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Intl. Ed.
BAYESIAN REASONING AND MACHINE LEARNING
by David Barber
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CAMBRIDGE. Softcover. Brand New. International Edition - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS
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Bayesian Reasoning and Machine Learning
by Barber, David
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Cambridge University Press, 2012-03-12. Hardcover. Used: Good.
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Bayesian Reasoning and Machine Learning
by Barber, David
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- 9780521518147 / 0521518148
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Murray, Kentucky, United States
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Good. Exact ISBN match. Immediate shipping. No funny business. Pics available upon request.
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Bayesian Reasoning and Machine Learning
by Barber, David
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Philadelphia, Pennsylvania, United States
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Cambridge University Press. 1. Very Good. Very Good. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported
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Bayesian Reasoning and Machine Learning
by David (University College London) Barber
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Uxbridge, Greater London, United Kingdom
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Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resour
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Bayesian Reasoning and Machine Learning
by Barber, David
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- good
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- ISBN 10 / ISBN 13
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Franklin Lakes, New Jersey, United States
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Cambridge University Press, 2012-03-12. Hardcover. Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA
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Bayesian Reasoning and Machine Learning. by David Barber
by David Barber
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- Hardcover
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- 9780521518147 / 0521518148
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Exeter, Devon, United Kingdom
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Cambridge University Press, 2012. Hardcover. New. 650 pages. 9.76x7.48x1.50 inches.
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Bayesian Reasoning and Machine Learning. by David Barber
by David Barber
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- Hardcover
- Condition
- New
- Binding
- Hardcover
- ISBN 10 / ISBN 13
- 9780521518147 / 0521518148
- Quantity Available
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Exeter, Devon, United Kingdom
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A$168.13A$19.33 shipping to USA
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Cambridge University Press, 2012. Hardcover. New. 650 pages. 9.76x7.48x1.50 inches.
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Stock Photo: Cover May Be Different
Bayesian Reasoning and Machine Learning
by David Barber
- New
- Hardcover
- Condition
- New
- Binding
- Hardcover
- ISBN 10 / ISBN 13
- 9780521518147 / 0521518148
- Quantity Available
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Woodside, New York, United States
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Cambridge University Press CUP , pp. 720 Index. Hardback. New.
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Bayesian Reasoning and Machine Learning by Barber, David
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- Hardcover
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- 9780521518147 / 0521518148
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Johannesburg, South Africa
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ISBN: 9780521518147CAMBRIDGE UNIVERSITY PRESS | 15 February 2019
Hardback | 735 pages
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… Read More
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