Editore: T&F India, 2025
Lingua: Inglese
Da: Books in my Basket, New Delhi, India
EUR 52,58
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. ISBN:9781032972190,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
Condizione: New.
EUR 65,18
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pages cm.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,82
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,85
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 68,14
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Aggiungi al carrelloCondizione: New. In.
Condizione: New. pages cm First edition Includes bibliographical references and index.
EUR 73,10
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pages cm.
Editore: Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 91,76
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
EUR 56,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 119,89
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 142,14
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 139,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Chapman and Hall/CRC 2022-07-07, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 137,90
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 152,03
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 85,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,21
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 171,04
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock.
EUR 152,07
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. Wayne Woodward, Bivin Sadler, Stephen Robertson Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, L.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 213,14
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
EUR 216,20
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock.
Editore: Taylor and Francis Ltd, GB, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 200,00
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Holt Winters, ARMA and ARIMA, deep learning models including RNNs, LSTMs, GRUs, and ensemble models composed of combinations of these models.Introduces the factor table representation of ARMA and ARIMA models. This representation is not available in any other book at this level and is extremely useful in both practice and pedagogy.Uses real world examples that can be readily found via web links from sources such as the US Bureau of Statistics, Department of Transportation and the World Bank.There is an accompanying R package that is easy to use and requires little or no previous R experience. The package implements the wide variety of models and methods presented in the book and has tremendous pedagogical use.
ISBN 10: 103297219X ISBN 13: 9781032972190
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.