Definition of UIMA UIMA (Unified Information Management Architecture) is a framework for the development of software systems that analyze natural language content. It provides a collection of components for performing tasks such as tokenization, sentence segmentation, part-of-speech tagging, and named entity extraction. UIMA also includes a runtime environment for deploying and executing these components.
Definition of Upstream Upstream: Upstream and Downstream are terms used in data science to describe the flow of data or what order events occur. Data is processed and becomes more refined as it moves through the various processes. Upstream is closer to the source. When discussing a specific process step, Downstream is a term that…
Definition of Unsupervised Learning Unsupervised Learning: Unsupervised learning is a type of machine learning algorithm that does not rely on feedback from humans to learn how to identify patterns in data. These algorithms are typically used to identify patterns in data that have not been labeled or categorized by humans.
Definition of Unknown Unknown: Unknown is a term used in data science to describe an attribute or value that has yet to be determined. This may be due to a lack of data or because the data is too noisy to be accurately analyzed. In either case, the goal of data science is to identify…
Definition of Universality Universality: Universality is the property of being applicable to a class of objects or phenomena. In data science, this means that a model or algorithm can be used to solve a problem for a wide range of data sets. This makes universality an important property for any data science toolkit.
Definition of Univariate Univariate: A univariate analysis is a data analysis technique that considers only one variable at a time.