An Introduction to Deep Learning for Sequential Data

Highlighting the similarities between time series and NLP

How I imagine myself when I load a time series dataset. Image by the author. (AI assisted)

Sequential data like time series and natural language require models that can capture ordering and context. While time series analysis focuses on forecasting based on temporal patterns, natural language processing aims to extract semantic meaning from word sequences.