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Researchers Tap Machine Learning to Overcome Small‑Data Hurdles in Aquatic Science

Researchers Tap Machine Learning to Overcome Small‑Data Hurdles in Aquatic Science

A Newswise report outlines how machine learning can better capture complex, high‑dimensional processes in aquatic environments affected by climate change and pollution. The work also addresses the limitations of sparse datasets and proposes strategies to improve reliability in small‑data settings.

Original headline

Machine Learning Tackles Small-Data Challenges in Aquatic Environments