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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Condition: As New. Unread book in perfect condition.
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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 46.07
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Condition: New.
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Practical time series analysis for data science
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
£ 56.49
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Time Series for Data Science: Analysis and Forecasting
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 50.64
Convert currency£ 11.28 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 453.
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC (edition 1), 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Hardcover. Condition: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Time Series for Data Science (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Paperback. Condition: new. Paperback. 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.
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 53.94
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Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
£ 57.16
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 506 pages. 7.01x1.19x10.00 inches. In Stock.
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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 52
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Time Series for Data Science: Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Practical time series analysis for data science
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Condition: New. pages cm First edition Includes bibliographical references and index.
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Practical time series analysis for data science
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Condition: New. pages cm.
-
Time Series for Data Science: Analysis and Forecasting
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
Condition: New.
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TIME SERIES FOR DATA SCIENCE
Published by Chapman and Hall/CRC, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
£ 46.08
Convert currency£ 41 shipping from United Kingdom to U.S.A.Quantity: 1 available
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£ 58.31
Convert currency£ 41.19 shipping from Germany to U.S.A.Quantity: 2 available
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Time Series for Data Science (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
£ 64.49
Convert currency£ 37 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Time Series for Data Science (Paperback)
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367543893 ISBN 13: 9780367543891
Language: English
£ 81.97
Convert currency£ 27.86 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Condition: As New. Unread book in perfect condition.
-
Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 102.28
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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International EditionTime Series for Data Science (Original Price £ 105.00)
ISBN 10: 103297219X ISBN 13: 9781032972190
Condition: 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.
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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Condition: New.
-
Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Condition: New.
-
Practical Time Series Analysis for Data Science
Published by Taylor & Francis Ltd, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 118.82
Convert currency£ 8.84 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Condition: New.
-
Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
£ 131.76
Convert currency£ 6.50 shipping from United Kingdom to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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Time Series for Data Science : Analysis and Forecasting
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 119.57
Convert currency£ 15 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Time Series for Data Science (Chapman & Hall/CRC Texts in Statistical Science)
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 123.63
Convert currency£ 11.98 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Time Series for Data Science (Hardcover)
Published by Taylor & Francis Ltd, London, 2022
ISBN 10: 036753794X ISBN 13: 9780367537944
Language: English
Hardcover. Condition: 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.
-
£ 136.83
Convert currency£ 10 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: Brand New. 512 pages. 10.00x7.00x1.38 inches. In Stock.
