# Data Augmentation

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/data-augmentation

Data augmentation is a machine learning technique that artificially expands a training dataset by creating modified copies of existing data, such as rotating or cropping images or paraphrasing text. It is used by data scientists and ML engineers to improve model robustness and reduce overfitting, especially when labeled data is scarce. Common applications include computer vision, natural language processing, and speech recognition.

Related skills: [Machine Learning](https://career.thegoodapps.co/skills/machine-learning), [Deep Learning](https://career.thegoodapps.co/skills/deep-learning), [PyTorch](https://career.thegoodapps.co/skills/pytorch), [Computer Vision](https://career.thegoodapps.co/skills/computer-vision), [TensorFlow](https://career.thegoodapps.co/skills/tensorflow), [Natural Language Processing](https://career.thegoodapps.co/skills/natural-language-processing), [Data Synthesis](https://career.thegoodapps.co/skills/data-synthesis)

## Open roles requiring Data Augmentation (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.