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].
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.
Seller: New Legacy Books, Annandale, NJ, U.S.A.
paperback. Condition: Very Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations!
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.
Seller: HPB-Emerald, 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!
Condition: 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.
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.
Softcover. Condition: Très 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, Very good. Former library book. Edition 2011. Ammareal gives back up to 15% of this item's net price to charity organizations.
Softcover. Condition: Très 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, Very good. Former library book. Edition 2011. Ammareal gives back up to 15% of this item's net price to charity organizations.
Language: German
Published by Polar Verlag; 1. Edition (28. Oktober 2024), 2024
ISBN 10: 3910918085 ISBN 13: 9783910918085
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New.
Paperback. 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.
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.
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.
Condition: Brand New. 336 pages. German language. 5.24x1.18x7.56 inches. In Stock.
paperback. Condition: Very Good. Cover and edges may have some wear.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
Language: German
Published by Diogenes; 1. Edition (20. März 2024), 2024
ISBN 10: 3257072821 ISBN 13: 9783257072822
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. 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.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Language: English
Published by Edition Patrick Frey 2021-09-17, 2021
ISBN 10: 3907236319 ISBN 13: 9783907236314
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by O'Reilly Media, Inc, USA, 2018
ISBN 10: 1491976446 ISBN 13: 9781491976449
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.