Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Data Management
Dataset
A structured collection of data used for analysis and training machine learning models.
Data Management
Dataset Splitting
The process of dividing a dataset into training, validation, and test sets.
Machine Learning
Decision Tree
A decision support tool that uses a tree-like model of decisions.
Machine Learning
Deep Learning
A subfield of machine learning that uses neural networks with many layers.
Media Technology
deepfake
A synthetic media in which a person in an image or video is replaced with someone else's likeness.
privacy technology
differential-privacy
A method to ensure that individual data points cannot be identified in datasets.
Simulation
digital-twin
A virtual representation of a physical object or system used for simulation and analysis.
Data Processing
dimensionality-reduction
The process of reducing the number of features in a dataset while preserving important information.
Computing
Distributed Computing
A computing paradigm where processing is distributed across multiple machines or nodes.
Machine Learning
distributed-learning
A machine learning paradigm where the training data is distributed across multiple devices or nodes.
Machine Learning
domain-adaptation
A technique in machine learning that aims to improve model performance on a target domain by leveraging labeled data from a related source domain.
Regularization
Dropout
A regularization technique used to prevent overfitting in neural networks by randomly deactivating a fraction of neurons during training.
algorithm-design
dynamic-programming
A method for solving complex problems by breaking them down into simpler subproblems.