Hardcover. Condizione: 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!
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
hardcover. Condizione: 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).
Condizione: 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.
Condizione: New.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 100,78
Quantità: 2 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
Condizione: As New. Unread book in perfect condition.
EUR 99,69
Quantità: 12 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 106,73
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 115,31
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Chapman and Hall/CRC 2019-11-21, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 104,55
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
EUR 115,27
Quantità: 12 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 123,00
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2019. 1st Edition. Hardcover. . . . . .
EUR 129,02
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
EUR 135,55
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 132,83
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Condizione: New. 2019. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Editore: Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 169,57
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: 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
Quantità: 2 disponibili
Aggiungi al carrelloGebunden. Condizione: New.
EUR 163,22
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 459 pages. 9.25x6.25x1.00 inches. In Stock.
Editore: Taylor and Francis Ltd, GB, 2019
ISBN 10: 1138495689 ISBN 13: 9781138495685
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 151,40
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 120,44
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.