4 ms·
How does this article manage not to mention a single actual example of ML-related misconceptions?? I'm sure they exist, but there is literally nothing here exc
by evrydayhustling 8y ago
How does this article manage not to mention a single actual example of ML-related misconceptions?? I'm sure they exist, but there is literally nothing here except some assertions and a plug for a vaguely remedial research line.
- neurostats 8y agoHere is the missing context from press release: ``` "In precision medicine, it's important to find groups of patients that have genomically similar profiles so you can develop drug therapies that are targeted to the specific genome for their disease," Allen said. "People have applied machine learning to genomic data from clinical cohorts to find groups, or clusters, of patients with similar genomic profiles. "But there are cases where discoveries aren't reproducible; the clusters discovered in one study are completely different than the clusters found in another," she said. "Why? Because most machine-learning techniques today always say, 'I found a group.' Sometimes, it would be far more useful if they said, 'I think some of these are really grouped together, but I'm uncertain about these others.'" Allen will discuss uncertainty and reproducibility of ML techniques for data-driven discoveries at a 10 a.m. press briefing today, and she will discuss case studies and research aimed at addressing uncertainty and reproducibility in the 3:30 p.m. general session, "Machine Learning and Statistics: Applications in Genomics and Computer Vision." Both sessions are at the Marriott Wardman Park Hotel. ``` https://eurekalert.org/pub_releases/2019-02/ru-cwt021119.php https://eurekalert.org/pub_releases/2019-02/ru-cwt021119.php & the context of the AAAS session https://aaas.confex.com/aaas/2019/meetingapp.cgi/Session/21598 https://aaas.confex.com/aaas/2019/meetingapp.cgi/Session/215...