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EUR 64,11
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Añadir al carritoHardcover. Condición: 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!
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
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EUR 64,11
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Añadir al carritohardcover. Condición: 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).
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Añadir al carritoCondición: 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.
EUR 100,92
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 103,27
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 103,15
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 109,00
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Añadir al carritoCondición: New.
EUR 100,92
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Añadir al carritoCondición: New.
EUR 116,98
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 111,94
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Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 108,05
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Añadir al carritoCondición: New. In.
Publicado por Chapman and Hall/CRC 2019-11-21, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 105,84
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Añadir al carritoHardcover. Condición: New.
EUR 116,61
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 123,19
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Añadir al carritoCondición: New. 2019. 1st Edition. Hardcover. . . . . .
EUR 130,61
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Añadir al carritoHardcover. Condición: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
Publicado por Taylor & Francis Group, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 134,95
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Añadir al carritoCondición: New.
EUR 132,36
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Añadir al carritoCondición: 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.
EUR 153,36
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Añadir al carritoCondición: New. 2019. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Publicado por Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 168,51
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Añadir al carritoHardback. Condición: 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.
EUR 116,65
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Añadir al carritoGebunden. Condición: New.
EUR 163,09
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Añadir al carritoHardcover. Condición: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
EUR 129,15
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Añadir al carritoBuch. Condición: 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.
Publicado por Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 157,33
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Añadir al carritoHardback. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 120,44
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Añadir al carritoBuch. Condición: 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.