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Three pitfalls to avoid in machine learning

As scientists from myriad fields rush to perform algorithmic analyses, Google’s Patrick Riley calls for clear standards in research and reporting.
  1. Patrick Riley

    1. Patrick Riley is a principal engineer and the senior researcher on the Google Accelerated Science team at Google, Mountain View, California, USA.

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Machine learning is driving discovery across the sciences. Its powerful pattern finding and prediction tools are helping researchers in all fields — from finding new ways to make molecules and spotting subtle signals in assays, to improving medical diagnoses and revealing fundamental particles.

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Nature 572, 27-29 (2019)

doi: https://doi.org/10.1038/d41586-019-02307-y

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