Model Validation Insights
Daniel discusses the importance of validating models beyond just sharing code, highlighting issues like data leakage in datasets. He emphasizes the fallibility of relying solely on others' work and touches on the trend of low to no-code machine learning approaches.In this clip
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Practical AI
Low code, no code, accelerated code, & failing code
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