Three pitfalls of machine learning and how to avoid them

Scientists from countless fields are turning to algorithmic data analysis; Google's Patrick Riley calls for clear standards for research and reporting.



TAE Technologies and Google engineers in California use machine learning to optimize high-energy plasma equipment. Source: Liz Kuball.

. โ€” .


โ€” , . , , . , , , .


. ยซ ยป . , , 60- ([1] โ€” ; ) , . , , . . . ? , , , โ€” , . , .


 [2]. . . , , .


, . , , , .


, Google Accelerated Science team.




. , , . . . - โ€” , .


, , , . , , , , . , . , , .


, , , , . - , , . ,  [3]. . ( ) .


, , , . , , . , . , .



. . , , , . .


, Google TAE Technologies  [4]. , . , , , , . , .


, . , . , , , . , .



, . Google , . : Atul Loke/The New York Times/Red/eyevine

, , , . ? , , . , , โ€” . , , . , โ€” , .


. , , - - , . โ€” , . , , , . , . . , , , , .


. , . , โ€” โ€” , , . โ€” .


: . , โ€” , ? . โ€” , .



, : โ€” 1% 2%? , , .


,  [5]. : , , , . , , .


, . . . , . , , โ€” .


? , , , , , , .


 [6], . . , , . .


-, . , . , . -, โ€” . : ยซ ?ยป. .


ยซยป , . . , , .


?


-, . , , , , . . , , .


-, , . , , , , .


-, . (, ai.google/education), . , , .


โ€” , . , , , .



  1. Kanal, L. N. & Randall, N. C. In Proc. 1964 19th ACM National Conf. 42.501โ€“42.5020 (ACM, 1964).
  2. Lipton, Z. C. & Steinhardt, J. Preprint at arXiv. arxiv.org/abs/1807.03341 (2018).
  3. Sheridan, R. P. J. Chem. Inform. Model. 53, 783โ€“790 (2013).
  4. Baltz, E. A. et al. Sci. Rep. 7, 6425 (2017).
  5. Bar-Sinai, Y., Hoyer, S., Hickey, J. & Brenner, M. P. Proc. Natl Acad. Sci. USA doi.org/10.1073/pnas.1814058116 (2019).
  6. Gulshan, V. et al. J. Am. Med. Assoc. 316, 2402โ€“2410 (2016).

:



All Articles