Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
49 topics found for
“data quality”
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.
McNamara Fallacy
The error of making decisions based solely on quantitative observations and ignoring all other factors.
Response Bias
A tendency for respondents to answer questions in a manner that is not truthful or accurate, often influenced by social desirability or survey design.
PDCA
Plan-Do-Check-Act (PDCA) is an iterative four-step management method used for continuous improvement of processes and products.
Confidence Interval
A range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter.
QFD
Quality Function Deployment (QFD) is a method used to transform customer needs into engineering characteristics for a product or service.
Operational Efficiency
The ability to deliver products or services in the most cost-effective manner without sacrificing quality.
Association Fallacy
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association.