5 Must-Read On Generalized Linear Models
5 Must-Read On Generalized Linear Models By George Baudrillard On the eve of Nov. 12, 2006, during a press conference on the topic of what must be a hard core of algorithms for quantification, I sat down with Richard Stallman to discuss what he called the “hypothesis approach”: a seemingly rigid focus on parameters (both […]
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