SQL
Definition of SQL
SQL: SQL is a programming language designed for managing data held in a relational database. It is used to query and update data, as well as to create and manage database objects such as tables, views, and indexes.
SQL: SQL is a programming language designed for managing data held in a relational database. It is used to query and update data, as well as to create and manage database objects such as tables, views, and indexes.
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 Hyperplane Hyperplane: A hyperplane is a mathematical concept used in linear algebra and machine learning. It is a subspace of a given vector space that is spanned by a set of vectors. In other words, it is a flat plane in a higher dimensional space. Hyperplanes can be used to separate different classes…
Definition of Streaming Data Streaming data: Streaming data is a type of data that is continuously updated. It can be used to track real-time changes in data, such as stock prices or website traffic.
Definition of Vector Space Model Vector Space Model: A vector space model is a mathematical model used in statistics, data mining, and machine learning to describe a set of objects in terms of their attributes and relationships between them.
Definition of Linear Regression Linear Regression: Linear Regression is a statistical technique that helps us understand how one variable (the dependent variable) changes when other variables (the independent variables) change. It does this by fitting a line through a set of data points, and then using the line to predict the value of the dependent…
Definition of Predictive Analytics Predictive analytics is the practice of using data mining and machine learning techniques to make predictions about future events. Predictive analytics can be used to predict things such as how likely a customer is to churn, or what the probability is that a particular disease will occur in a population.