Time series for data scientists : data management, description, modeling and forecasting /
Learn by doing with this guide to classical and contemporary machine learning approaches to time series data analysis. With datasets, commented R programs, case studies and quizzes, this is an essential and accessible resource for undergraduate and graduate students in statistics and data science an...
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| Format: | Book |
| Language: | English |
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Cambridge ; New York :
Cambridge University Press,
[2023].
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| Summary: | Learn by doing with this guide to classical and contemporary machine learning approaches to time series data analysis. With datasets, commented R programs, case studies and quizzes, this is an essential and accessible resource for undergraduate and graduate students in statistics and data science and researchers in data-rich disciplines. |
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| Physical Description: | xii, 463 pages : illustrations (some color) ; 26 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781108837774 1108837778 |