Empirical Rule
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions.
A structured framework for organizing information, defining the relationships between concepts within a specific domain to enable better understanding, sharing, and reuse of knowledge.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.
Business Intelligence (BI) encompasses technologies, applications, and practices for the collection, integration, analysis, and presentation of business information.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes.