Augmented Analytics, Machine Learning and Supervised Learning

Data Augmentation in Machine Learning: Techniques and Future Trends

Pickl AI

NOVEMBER 13, 2024

Summary: Data Augmentation is a crucial technique in Machine Learning that increases dataset diversity through transformations. It helps improve model robustness, addresses class imbalance, and enhances generalisation capabilities, making it essential for effective Machine Learning applications.

Machine Learning

Machine Learning Machine Learning Supervised Learning Natural Language Processing

Data Science Current

Data Augmentation in Machine Learning: Techniques and Future Trends

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