Data Augmentation
Data Augmentation is a technique used in machine learning to increase the diversity of training data without actually collecting new data.
Data Imputation
Data Imputation is the process of replacing missing or incomplete data with substituted values.
Data Leakage
Data leakage is the unintended or unauthorized transmission of data from within an organization to an external recipient.
DBSCAN
DBSCAN is a density-based clustering algorithm that groups together points in dense regions and marks points in sparse regions as outliers.
Decision Boundary
A decision boundary is a line or surface that separates different classes in a classification problem.
Decision Tree
A Decision Tree is a flowchart-like structure used for making decisions and analyzing potential outcomes by mapping various possible choices and their consequences.
Discriminative Model
A discriminative model is a type of machine learning model that focuses on differentiating between different classes or categories of data.