Machine Learning
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Computer scientists identified three categories of data needed to more accurately predict cancer patients’ immune response to therapy and reduce costly, unnecessary treatments.
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Researchers created and trained a machine learning algorithm to assign risk probabilities to 150,000 plant species worldwide.
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UMD researchers help explain why machine learning algorithms sometimes generate nonsensical answers.
