634: Model Error Analysis
Super Data Science: ML & AI Podcast with Jon Krohn
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Importance of Uncertainty in Predictions and Model Error Analysis
This chapter emphasizes the need to incorporate uncertainty in predictions, exemplified by the absence of confidence intervals in various predictions such as polling and election outcomes. It also introduces the Responsible AI Toolkit by Microsoft, which assists in analyzing model errors to enhance predictions and data gathering processes.
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Transcript
