Tag: Machine learning

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How to make the most out of machine learning models and what can go wrong

In the latest issue of the journal we have a new ‘How to…’ paper lead by Nick Fountain‐Jones from the University of Tasmania on How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure. In this blog, Nick goes beyond the paper and discusses 5 mistakes and things to look out for when not only running the pipeline presented in … Continue reading How to make the most out of machine learning models and what can go wrong

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Announcements, Special features

Open Call for Papers: Special Feature on Biologging

With the recent advances in GPS and sensor technology, including three-axis accelerometers, it has become possible to simultaneously track multiple animals with a high accuracy while recording detailed information about their physiological status and measuring their energy expenditures. By providing a huge amount of accurate data in real time, biologging enables the uncovering of the hidden lives of animals in the wild. The recent explosion of … Continue reading Open Call for Papers: Special Feature on Biologging

Unknown's avatarJournal of Animal Ecology9 Comments