Novel machine-learning method produces detail

Scientists at the Cornell Lab of Ornithology have developed a novel way to model whether the populations of more than 500 bird species are increasing or decreasing. The method solves a nagging statistical problem by accounting for year-to-year changes in the behavior of people collecting the data.

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Shawn Ligocki , Amanda Rodewald , Alison Johnston , Wesley Hochachka , Tom Auer , Chris Wood , Lauren Oldham Jaromczyk , Corin Robinson , Steve Kelling , Matthew Strimas Mackey , Daniel Fink , Cornell Lab Of Ornithology , Method Of Research , Cornell Lab , Double Machine , Machine Learning , Double Machine Learning , Double Machine Learning Trend Model , Citizen Science ,