Standard deviation

A standard deviation (or σ) is a statistical metric (measure) of how dispersed the data is in relation to the mean. It if frequently used in machine learning data preparation and in machine learning model training.

standardization

In machine learning, standardization is a feature engineering technique by which the dataset features are re-scaled to achieve zero-mean value (μ=0) and unit standard deviation value (σ=1). Each x value in the dataset gets a corresponding x' standardized value, which is calculated as follows. , where μ is the x variable mean and σ is ... Read more

stratified cross validation

Stratified cross validation is a data validation technique used when splitting the ML dataset into k subsets, of which k-1 subsets are used as training subsets (folds) and one (1) is used as the test subset (fold). This process is repeated k times. Stratified cross validation uses stratified sampling in the dataset, in order to ... Read more

Strong Authentication

Strong Authentication (SA) Strong authentication assumes the usage of Multi-factor authentication (MFA) as a baseline, but goes beyond that with other authentication means. Strong authentication employs National Institute for Standards and Technology (NIST) assurance level-2 or assurance level-3. More details about strong authentication can be found at: https://www.yubico.com/resources/glossary/strong-authentication/.