Time Series Forecasting in Python

12 Introducing deep learning for time series forecasting

This chapter covers

• Using deep learning for forecasting
• Exploring different types of deep learning models
• Getting ready to apply deep learning to time series forecasting

In the last chapter, we concluded the part of the book on time series forecasting using statistical models. Those models work particularly well when you have small datasets (usually less than 10,000 data points), and when the seasonal period is monthly, quarterly, or yearly. In situations where you have daily seasonality or where the dataset is very large (more than 10,000 data points), those statistical models become very slow, and their performance degrades.

Thus, we turn to deep learning. Deep learning is a subset ...