AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. These systems can perform tasks that usually require human intelligence, such as decision-making, speech recognition, visual perception, and language translation.
The Coefficient of Determination, denoted as R^2, measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). It is commonly used in the context of regression analysis to determine how well the model fits the data.
Factor Analysis is a mathematical procedure used to reduce a large amount of data into a structure that can be more easily studied. It summarizes information contained in multiple variables into a smaller number of interrelated factors.
Multicollinearity refers to the presence of independent variables in regression analysis that are associated with each other, having some degree of correlation. This phenomenon can complicate the interpretation of model coefficients and lead to unreliable results.
A Quant, or quantitative analyst, is a professional with strong mathematical and computer skills who provides numerical and analytical support services, typically in the finance sector.
Initial data a researcher has before beginning analysis, often unprocessed and unorganized, representing real-world conditions without any transformations or analytical treatments.
