stratified k-fold cross-validation
The stratified k-fold cross-validation is a k-fold cross-validation method in which each fold has a representative sample of data in datasets which exhibit class imbalance.
Dictionary
stride
Stride in Convolutional Neural Networks (CNN) is called the distance between filters in a convolution as they scan an image.
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/.
structured data
Data found in data sources (virtual machines, virtual containers, storage accounts, databases, data wareshouses, data lakes, data marts and data hubs) can be classified into three (3) major categories with regard to the level of structure they present. Unstructured data, i.e data which is in a format that makes it difficult to search, filter, or ... Read more
supervised learning
Machine learning models and algorithms can be classified into three (3) major categories: Supervised learning, i.e. a type of machine learning in which known label values are provided as input so that a model can estimate these values in future datasets. Examples of supervised learning algorithms are regression and classification algorithms, such as linear regression ... Read more
SVM
SVM stands for Support Vector Machine. SVM is a well-known family of supervised learning non-parametric algorithms which are used in regression and classification machine learning problems, by separating data values using a hyperplane. SVM algorithms are ideal when there is presence of outliers in the model training data.