Using Machine Learning to Forecast Bird Migration
PhD student Mikko Jimenez and his colleagues are using machine learning to improve our ability to forecast bird migration. Machine learning is a type of artificial intelligence that can find patterns in huge amounts of data much faster than a person can, and then use those patterns to make predictions. Still, Mikko says it’s not as simple as computers to the rescue.
More info and transcript at BirdNote.org.
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PhD student Mikko Jimenez and his colleagues are using machine learning to improve our ability to forecast bird migration. Machine learning is a type of artificial intelligence that can find patterns in huge amounts of data much faster than a person can, and then use those patterns to make predictions. Still, Mikko says it’s not as simple as computers to the rescue.
More info and transcript at BirdNote.org.
Want more BirdNote? Subscribe to our weekly newsletter. Sign up for BirdNote+ to get ad-free listening and other perks.
BirdNote is a nonprofit. Your tax-deductible gift makes these shows possible.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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