Published by SPRINGER (edition 1), 2013
ISBN 10: 1461471370 ISBN 13: 9781461471370
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Very Good.
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Published by Springer (edition Second Edition 2021), 2021
ISBN 10: 1071614177 ISBN 13: 9781071614174
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Seller: UK BOOKS STORE, London, LONDO, United Kingdom
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Add to basketHardcover. Condition: USED BOOKS. USED BOOKS! Fast Delivery USA 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 7-14 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.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Published by Springer
Seller: Academic Book Solutions, Medford, NY, U.S.A.
hardcover. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Published by Springer
Seller: Academic Book Solutions, Medford, NY, U.S.A.
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Published by Springer, 2015
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by (Springer, Switzerland, 2023), 2023
Seller: Alcuin Books, ABAA/ILAB, Scottsdale, AZ, U.S.A.
First Edition
First Edition. Large Octavo. 607 pages Written by four experts of the field, this book offers an excellent entry to statistical learning to a broad audience, including those without strong background in mathematics. The focus is on explanation of concepts, description of methods, application of software,and interpretation of results. A reader only needs to know the basic concepts from an algebra-based elementary probability course, such as random variables, probability distribution, expectation, variance, conditional probability, and the Bayes theory. A fine copy bound in yellowpurple, red, blue and green paper covered boards lettered in yellow, white, and black.