Many statistical and artificial intelligence techniques generate some form of estimate and we need to assess the level of confidence we should have in the estimate. In statistics, this is usually in relation to numerical measures, for example the mean of a sample as an estimate of the population mean, and summary statistics such as the standard deviation of the estimate may be used alongside more distribution-specific methods such as confidence intervals. Non-numeric estimates, such as classifications or rich media as often found in big data analysis or machine learning techniques, may requre different forms of confidence measure.
Also used in hcistats2e: Chap. 12: page 138
Used in glossary entries: big data, confidence interval, machine learning, mean (μ), population, probability distribution, sample, standard deviation (s.d., σ), summary statistics