This document discusses pattern recognition and its techniques and use cases. It defines pattern recognition as the process of distinguishing and segmenting data according to set criteria or common elements. The main techniques discussed are statistical, syntactic, and template matching models. Key uses of pattern recognition include data analytics, natural language processing, optical character recognition, image recognition, voice recognition, and sentiment analysis. The document concludes that pattern recognition is key to further advances in computational technology and big data analytics.