time series analysis

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

Time series analysis refers to statistical techniques to understand and predict time series data. Most of the classic techniques are linear, including moving averages and ARMA (Auto Regressive Moving Average) models. There are also non-statistical AI methods for dealing with time series, such as recurrent neural networks and attention mechanisms.

Used in Chap. 14: pages 214, 220