Data-Centric AI
The conversation emphasizes the critical role of data in AI, challenging the notion that complex models alone can solve issues of bias. Serg highlights the importance of understanding the data generation process and ensuring model reliability in real-world applications. Additionally, he discusses the necessity of incorporating domain knowledge during model training to enhance performance and decision-making.In this clip
From this podcast
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SDS 539: Interpretable Machine Learning — with Serg Masís
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