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Data Analyst or Data Scientist: Career Path Deep Dive (w/ Chris Bruehl & Alice Zhao)

Mavens of Data

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Navigating the Balance Between Model Complexity and Interpretability

This chapter delves into the challenges of data science, emphasizing the importance of interpretable models in building trust with stakeholders. It also discusses the complexities of black box algorithms versus simpler models and provides insights on how to achieve a balance between model interpretability and predictive accuracy.

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