Editor's Note: This post is part of a series based on the research conducted in District Data Labs' NLP Research Lab.

This post is about Distributed Representations, a concept that is foundational not only to the understanding of data processing in machine learning, but also to the understanding of information processing and storage in the brain. Distributed representations of data are the de-facto approach for many state-of-the-art deep learning techniques, notably in the area of Nat...