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Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition] - Softcover

 
9780997847949: Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]

Synopsis

Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.

The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data.

This edition features the R fable package, full color, enhanced organization, and new material. It includes:

  • Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensembles
  • A practical approach to evaluating the performance of forecasting solutions
  • A business-analytics exposition focused on linking time-series forecasting to business goals
  • Guided cases for integrating the acquired knowledge using real data
  • End-of-chapter problems to facilitate active learning
  • Data, R code, and instructor materials on companion website
  • Affordable and globally-available textbook, available in hardcover, paperback, and Kindle formats
Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management.

"synopsis" may belong to another edition of this title.

  • PublisherAxelrod Schnall Publishers
  • Publication date2024
  • ISBN 10 0997847948
  • ISBN 13 9780997847949
  • BindingPaperback
  • LanguageEnglish
  • Number of pages250

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Paperback. Condition: new. Paperback. Practical Time Series Forecasting with R: A Hands-On Guide, Third Edition provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications. The book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time series data. This edition features the R fable package, full color, enhanced organization, and new material. It includes: Popular forecasting methods including smoothing algorithms, regression models, ARIMA, neural networks, deep learning, and ensemblesA practical approach to evaluating the performance of forecasting solutionsA business-analytics exposition focused on linking time-series forecasting to business goalsGuided cases for integrating the acquired knowledge using real dataEnd-of-chapter problems to facilitate active learningData, R code, and instructor materials on companion websiteAffordable and globally-available textbook, available in hardcover, paperback, and Kindle formatsPractical Time Series Forecasting with R: A Hands-On Guide, Third Edition is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, information systems, finance, and management. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780997847949

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