Deep learning is a branch of machine learning that uses multiple processing layers to model and learn from data at a high level of abstraction. The document discusses several techniques used in deep learning including principal component analysis, Mantel's test, and time series analysis. It provides examples of applying these techniques to questionnaire data, Twitter data on a hashtag about explosions, and foreign exchange data on currency pairs to observe stable and unstable structures in the data.