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Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183

Adventures in Machine Learning

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Navigating Data Science Pitfalls

This chapter addresses the challenges data scientists face, highlighting issues like the accuracy paradox and overfitting. It advocates for a balanced approach to model development, emphasizing simplicity, maintainability, and continuous monitoring to effectively handle real-world applications.

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