Math

Information theory is a postulate that explains how data is processed and measured when information is transmitted. Also called mathematical theory of communication, it was developed by biologist Warren Weaver and electrical engineer and mathematician Claude Shannon in the late 1940s. Before moving forward, it is […]

Sampling is a procedure carried out to take samples that are considered representative of the average characteristics, quality or conditions of a larger group. The term is also used to name the choice of a small part of a statistical population for the purpose of making an inference […]

Sensitivity analysis is the name given to a study or a technique that focuses on, taking into account output variables of systems or mathematical models, how it is possible to divide and assign uncertainty (which can be associated with issues such as lack or insufficiency). of data, a possible measurement error, etc) […]

A scatter plot is a type of graph used in statistics and data analysis to visually represent the relationship between two quantitative variables. Each point on the graph indicates a pair of values ​​corresponding to the variables analyzed, which allows any pattern, trend or correlation between them to be observed. This guy […]

Pattern recognition is the name that identifies a discipline specialized in processes typical of the fields of mathematics, engineering, computing and even psychology that are related to either abstract or physical objects (texts, sounds, images, etc.). ). This area of ​​study, which is also often referred to as recognition of […]

Molecular dynamics is the name of a computer simulation technique that is used to observe how particles move. To do this, using a computer, a test of the interaction of molecules and atoms is carried out for a certain period of time. Using numerical procedures, algorithms typical of information theory […]

Statistical mechanics is the name given to one of the branches that expands the scope and specializations of physics. It is an area of ​​study that, appealing to probability theory, allows us to determine the behaviors both at the microscopic and macroscopic levels of a physical system. With this discipline […]

Superposition principle is the name of a tool that provides the possibility of breaking down a certain problem into a pair, or more, of structures of lower complexity. This resource, also known as the superposition theorem, is partially valid and appropriate whenever there are linear functions, linked to mathematical problems, […]

Factor analysis is a statistical technique used to identify underlying relationships between observed variables. The objective is to reduce their quantity to a smaller number of latent factors that represent underlying constructs, while maintaining as much original information as possible. This method is commonly used in social sciences, psychology and marketing to […]

Predictive analytics is the procedure of examining data to recognize patterns using algorithms and statistics and then generating predictions about an event, phenomenon or behavior. The concept is usually associated with big data and artificial intelligence. It can be said that the idea of ​​predictive analysis refers to the set of techniques that, […]