Description
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:
Author: Julia Polak, Galit Shmueli
Publisher: Axelrod Schnall Publishers
Published: 02/24/2024
Pages: 252
Binding Type: Paperback
Weight: 0.98lbs
Size: 10.00h x 7.00w x 0.53d
ISBN13: 9780997847949
ISBN10: 0997847948
BISAC Categories:
- Business & Economics | Forecasting
- 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
Author: Julia Polak, Galit Shmueli
Publisher: Axelrod Schnall Publishers
Published: 02/24/2024
Pages: 252
Binding Type: Paperback
Weight: 0.98lbs
Size: 10.00h x 7.00w x 0.53d
ISBN13: 9780997847949
ISBN10: 0997847948
BISAC Categories:
- Business & Economics | Forecasting
This title is not returnable

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