Recent advances in machine learning methods, along with successful applicat
ions across a wide variety of fields such as planetary science and bioinfor
matics, promise powerful new tools for practicing scientists. This viewpoin
t highlights some useful characteristics of modern machine learning methods
and their relevance to scientific applications. We conclude with some spec
ulations on near-term progress and promising directions.