Scalar
Definition of Scalar
A scalar is a numerical quantity that has a magnitude but no direction.
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Labeling
ByDavis
Definition of Labeling Labeling: Labelling is the process of attaching a label, or name, to a particular instance of data. This can be done manually, or through automated means. Labels can be used to help identify and group data, as well as to track changes over time. How is Labeling used? Labeling is an important…
Bivariate Analysis
ByDavis
Bivariate Analysis is the examination of two sets of data, typically in order to identify any correlations between them. This can be used to inform further analysis, or to gain a better understanding of the data…
Enrichment
ByDavis
Definition of Enrichment Enrichment: In data science, enrichment is the process of expanding or enhancing a dataset with additional information. This can be done in order to improve the accuracy of predictions or to gain a deeper understanding of the data. Enrichment can be performed manually, by adding new data points to the dataset, or…
Naive Bayes Classifier
ByDavis
Definition of Naive Bayes Classifier A naive Bayes classifier is a machine learning algorithm that relies on the assumption that the features of a given object are independent of each other. This algorithm is often used for text classification tasks, such as sorting email into spam and non-spam folders.
Kappa Statistic
ByDavis
Definition of Kappa Statistic Kappa Statistic: Kappa statistic is a statistic used in machine learning and data science that measures the agreement between predicted values and observed values. Kappa statistic is calculated as the average of the absolute agreements (predicting the correct class) minus the average of the absolute disagreements (predicting the wrong class). How…
Open Source
ByDavis
Definition of Open Source Open Source: Open source refers to software for which the original source code is made freely available and may be redistributed and modified.