Deep Learning with R, Second Edition

10 Deep learning for time series

This chapter covers

• Examples of machine learning tasks that involve time-series data
• Understanding recurrent neural networks (RNNs)
• Applying RNNs to a temperature-forecasting example
• Advanced RNN usage patterns

10.1 Different kinds of time-series tasks

A time series can be any data obtained via measurements at regular intervals, like the daily price of a stock, the hourly electricity consumption of a city, or the weekly sales of a store. Time series are everywhere, whether we’re looking at natural phenomena (like seismic activity, the evolution of fish populations in a river, or the weather at a location) or human activity patterns (like visitors to a website, a country’s GDP, or credit card transactions). ...