Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Language: English
Published by CreateSpace Independent Publishing Platform, USA, 2016
ISBN 10: 1523865512 ISBN 13: 9781523865512
Seller: Celt Books, Kenner, LA, U.S.A.
Soft cover. Condition: As New. No Jacket. The Dark Man: The Journal of Robert E. Howard and Pulp Fiction Studies Vol 8 No 2.
Published by The Auk, 2008
Seller: Larry W Price Books, Portland, OR, U.S.A.
Magazine / Periodical First Edition
Pamphlet. Condition: Very Good. 1st Edition. Vol 125, No 2, pp. 253-264, Color Maps, Illus, 4to, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.
Published by Boston University, 1991
Seller: Katsumi-san Co., Cambridge, MA, U.S.A.
Soft cover. Condition: Very Good. Top corner of cover has former ownership stamp of archaeologist J[effrey]. P. Brain and another stamp indicating that this volume was not accessioned by a Harvard University library; top of fore edge has small bit of minor soil; back cover has faint, minor crease; tight, text clean. Paginated 275-404, illustrated. Oversize [b 830].
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Seller: HPB-Ruby, Dallas, TX, U.S.A.
paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
US$ 14.45
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:185477008X.
US$ 5.17
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Add to basketSoftcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2011. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2011. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller: GoldBooks, Denver, CO, U.S.A.
Paperback. Condition: new. New Copy. Customer Service Guaranteed.
US$ 32.30
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Add to basketPaperback. Condition: Brand New. none edition. 250 pages. 8.00x5.50x0.75 inches. In Stock.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: German
Published by Christiana; 8. Edition (3. Mai 2016), 2016
ISBN 10: 3717110691 ISBN 13: 9783717110699
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New.
Paperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
paperback. Condition: Very Good. Cover and edges may have some wear.
Language: English
Published by O'Reilly Media 4/2/2018, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Introduction to Machine Learning with R: Rigorous Mathematical Analysis. Book.
Paperback. Condition: New. Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with regression modelling and then move into more advanced topics such as neural networks and tree-based methods. Finally, you'll delve into the frontier of machine learning, using the caret package in R. Once you develop a familiarity with topics such as the difference between regression and classification models, you'll be able to solve an array of machine learning problems. Author Scott V. Burger provides several examples to help you build a working knowledge of machine learning. Explore machine learning models, algorithms, and data training Understand machine learning algorithms for supervised and unsupervised cases Examine statistical concepts for designing data for use in models Dive into linear regression models used in business and science Use single-layer and multilayer neural networks for calculating outcomes Look at how tree-based models work, including popular decision trees Get a comprehensive view of the machine learning ecosystem in R Explore the powerhouse of tools available in R's caret package.
Condition: NEW.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 43.99
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 49.85
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Add to basketCondition: Brand New. 336 pages. German language. 5.24x1.18x7.56 inches. In Stock.
Seller: Chiron Media, Wallingford, United Kingdom
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Add to basketPaperback. Condition: New.
Condition: new.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032077141 ISBN 13: 9783032077141
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. This volume contains the proceedings of the 18th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2025, which took place in Pittsburgh, Pennsylvania, USA, in October 2025.The 23 papers presented in this volume were carefully reviewed and selected from 56 submissions. They are divided into the following themes: Advances in Tools and Theory; Data-Driven Approaches.Another focus of the conference is on understanding, predicting, and influencing human sociocultural behavior. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Edition Patrick Frey 2021-09-17, 2021
ISBN 10: 3907236319 ISBN 13: 9783907236314
Seller: Chiron Media, Wallingford, United Kingdom
US$ 50.05
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Add to basketHardcover. Condition: New.
Language: English
Published by Oreilly & Associates Inc, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Seller: Revaluation Books, Exeter, United Kingdom
US$ 58.68
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Add to basketPaperback. Condition: Brand New. 212 pages. 9.00x7.00x0.50 inches. In Stock.