Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 530 pp. Englisch. Bestandsnummer des Verk�ufers 9780367543891

Verk�ufer kontaktieren

Neu kaufen

EUR 59,60

W�hrung umrechnen

Versand: Gratis

Innerhalb Deutschlands

Versandziele, Kosten & Dauer

Anzahl: 2 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

TIME SERIES FOR DATA SCIENCE

WOODWARD WAYNE A.

Verlag: Chapman and Hall/CRC, 2024

ISBN 10: 0367543893 ISBN 13: 9780367543891

Neu Softcover

Anbieter: Speedyhen, London, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Zustand: NEW. Bestandsnummer des Verk�ufers NW9780367543891

Verk�ufer kontaktieren

Neu kaufen

EUR 56,46

W�hrung umrechnen

Versand: EUR 5,94

Von Vereinigtes K�nigreich nach Deutschland

Versandziele, Kosten & Dauer

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Time Series for Data Science

Wayne A. Woodward (Southern Methodist University, Dallas, Texas, USA)|Bivin Philip Sadler (Technical Assistant Professor, Southern Methodist University)|Stephen Robertson

Verlag: CRC Press, 2024

ISBN 10: 0367543893 ISBN 13: 9780367543891

Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Zustand: New. Bestandsnummer des Verk�ufers 1533097592

Verk�ufer kontaktieren

Neu kaufen

EUR 67,33

W�hrung umrechnen

Versand: Gratis

Innerhalb Deutschlands

Versandziele, Kosten & Dauer

Anzahl: 2 verf�gbar

In den Warenkorb

Beispielbild f�r diese ISBN

Time Series for Data Science: Analysis and Forecasting

Wayne A. Woodward

Verlag: Taylor & Francis Ltd, 2024

ISBN 10: 0367543893 ISBN 13: 9780367543891

Neu Paperback / softback

Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes K�nigreich

Verk�uferbewertung 5 von 5 Sternen

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 453. Bestandsnummer des Verk�ufers B9780367543891

Verk�ufer kontaktieren

Neu kaufen

EUR 62,05

W�hrung umrechnen

Versand: EUR 6,57

Von Vereinigtes K�nigreich nach Deutschland

Versandziele, Kosten & Dauer

Anzahl: 1 verf�gbar

In den Warenkorb

Foto des Verk�ufers

Time Series for Data Science : Analysis and Forecasting

Wayne A. Woodward

Verlag: Chapman And Hall/CRC, 2024

ISBN 10: 0367543893 ISBN 13: 9780367543891

Neu Taschenbuch

Print-on-Demand

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verk�uferbewertung 5 von 5 Sternen

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verk�ufers 9780367543891

Verk�ufer kontaktieren