Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Textbooks_Source, Columbia, MO, U.S.A.
First Edition
hardcover. Condition: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
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.
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 123.28
Quantity: Over 20 available
Add to basketCondition: New. In.
Published by Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Published by Chapman and Hall/CRC 2019-11-21, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
Hardcover. Condition: New.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Published by Taylor & Francis Ltd, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. 2019. 1st Edition. Hardcover. . . . . .
Hardcover. Condition: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
Published by Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Published by Taylor & Francis Ltd, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2019. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Published by Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular machine learning methods. This book serves as a practitioner's guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R's machine learning stack and be able to implement a systematic approach for producing high quality modeling results.Features:· Offers a practical and applied introduction to the most popular machine learning methods.· Topics covered include feature engineering, resampling, deep learning and more.· Uses a hands-on approach and real world data.
Gebunden. Condition: New.
Hardcover. Condition: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Hands-On Machine Learning with R | Brad Boehmke (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2019 | Chapman and Hall/CRC | EAN 9781138495685 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Published by Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
Hardback. Condition: New. Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular machine learning methods. This book serves as a practitioner's guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R's machine learning stack and be able to implement a systematic approach for producing high quality modeling results.Features:· Offers a practical and applied introduction to the most popular machine learning methods.· Topics covered include feature engineering, resampling, deep learning and more.· Uses a hands-on approach and real world data.
Published by Chapman And Hall/CRC, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem solving.