Editore: T&F India, 2025
Lingua: Inglese
Da: Books in my Basket, New Delhi, India
EUR 52,10
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: As New. Unread book in perfect condition.
Condizione: New.
EUR 64,58
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pages cm.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 56,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Condizione: New. pages cm First edition Includes bibliographical references and index.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 67,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 73,38
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pages cm.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 68,49
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 453.
Editore: Taylor and Francis Ltd, GB, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 94,42
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: Greenway, Chattanooga, TN, U.S.A.
hardcover. Condizione: Very good condition. some wear on cover,clean inside,fast ship.
EUR 56,83
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 58,15
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Time Series for Data Science | Analysis and Forecasting | Wayne A. Woodward (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Chapman and Hall/CRC | EAN 9780367543891 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 119,36
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 131,38
Quantità: 2 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 140,82
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 139,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 140,16
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 209.
Editore: Chapman and Hall/CRC 2022-07-07, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 137,28
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 139,57
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 150,63
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 85,58
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.
Editore: Taylor & Francis Ltd, London, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Data Science students and practitioners want to find a forecast that works and dont 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 doesnt 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. Practical Time Series Analysis for Data Science is an accessible guide that doesnt require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 161,30
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Hardcover. . . . . .
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,91
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 170,27
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock.