Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
Metrics that may look impressive but do not provide meaningful insights into the success or performance of a product or business, such as total page views or social media likes.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
The tendency for individuals to present themselves in a favorable light by overreporting good behavior and underreporting bad behavior in surveys or research.
Data points that represent an individual's, team's, or company's performance in the sales process.
User Experience (UX) refers to the overall experience of a person using a product, system, or service, encompassing all aspects of the end-user's interaction.
Model-View-Controller (MVC) is an architectural pattern that separates an application into three main logical components: the Model (data), the View (user interface), and the Controller (processes that handle input).
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.