Skill

Data Augmentation

Data Science, Analytics and AI/ML

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.

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• Machine Learning
• Deep Learning
• PyTorch
• Computer Vision
• TensorFlow
• Natural Language Processing
• Data Synthesis