Part 3: Forecasting on Mixed Platforms

So far, we have seen solutions to the most common time series problems. In this part, we extend the previously described solutions to be more scalable, multivariate, and integrated and introduce advanced examples of demand prediction and stock price prediction. The following are the chapters included in this part:

• Chapter 12, Predicting Taxi Demand on the Spark Platform
• Chapter 13, GPU Accelerated Model for Multivariate Forecasting
• Chapter 14, Combining KNIME and H2O to Predict Stock Prices