Data quality refers to how accurate and dependable data is, playing a vital role in the development of machine learning and AI systems. Poor data quality can lead to problems like overfitting and underfitting in predictive models, as discussed in videos like 'Overfitting, Underfitting, and Bad Data Are Ruining Your Predictive Models.' These resources typically teach about the importance of data quality and its foundational role in AI engineering.
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