"The early 2000s hosted a fiery argument over the role of statistics and algorithmic modelling, another Taste War that would follow machine learning for years."
Breiman's influential 2001 paper challenged the dominance of traditional data modelling and contrasted it with algorithmic approaches focused on prediction. Published alongside responses from prominent statisticians, it provides historical evidence for the book's account of competing intellectual cultures within the development of modern machine learning.
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