Machine learning models can perform wonderful things—if they have enough training data. Unfortunately, for many applications, access to quality data remains a barrier.
One solution to this problem is “data augmentation,” a technique that generates new training examples from existing ones. Data augmentation is a low-cost and effective method to improve the performance and accuracy of machine learning models in data-constrained environments.
Learn all about data augmentation on TechTalks.
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