Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Data Augmentation
augment-data
A technique to artificially increase the size of a training dataset by creating modified copies of existing data.
Data Preparation
Augmented Data
Synthetic data created to enhance the diversity and quantity of training datasets.
Data Processing
data-augmentation
The process of increasing the size and diversity of a training dataset by applying transformations.
Machine Learning
distributed-learning
A machine learning paradigm where the training data is distributed across multiple devices or nodes.
Machine Learning
Generative Modeling
A type of modeling that generates new data instances that resemble the training data.
machine-learning
generative-models
Models that can generate new data instances similar to the training data.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.