Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]
Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition]
- 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
PRP: 271.25 Lei
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Descrierea produsului
- 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
Detaliile produsului