The Shift to Data-Centric Machine Learning

This chapter explores the transformative approach of data-centric machine learning, emphasizing the refinement of data over model adjustments. It highlights the challenges of data recognition in the community and the significant role data cleaning plays in successful projects. The discussion culminates in a personal journey within data science, stressing the importance of foundational statistical concepts and the critique of traditional significance measures.

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