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Sam Finlayson proslijedio/la je Tweet
Since everyone's so read up on R0 (reproductive number) of diseases due to the
#coronavirus now, thought I'd do a quick thread explaining herd immunity Both concepts are closely related!Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Post on the history of Machine Learning, its relationship with statistics, and some common land mines in public discourse about the fieldhttps://twitter.com/iamsamfin/status/1223961801244758016 …
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PS Thanks
@JFutoma for prompting me to write it, and for commenting on my raw initial thoughts yesterday.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
To be clear, I’m under no illusion that this post will change anyone’s mind about anything. It was written quickly, and reasonable can disagree with many of my points. Rather, I hope it rids me of desire to waste time on toxic instantiations of this debate in the future. 3/3
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Here are some thoughts on stats “vs” ML. Rel btwn the fields, why debates on topic are almost always fundamentally flawed, why I think there’s so much talking past each other, and why I wish we could focus instead on *specific* methods + problems https://sgfin.github.io/2020/01/31/Comments-ML-Statistics/ … 2/3
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There is one topic that’s always my twitter Achilles heel: stats “vs” ML debates. Their existence frustrates me and I can never help myself. So, a few months back, I promised myself that the next time one came up, instead of entering the scrum, I’d just write a post. So.. 1/3https://twitter.com/jfutoma/status/1222837860803497984 …
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Sam Finlayson proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Sam Finlayson proslijedio/la je Tweet
So I set up a blog to share 'non-traditional research outputs'. First up is the code from yesterday to make an interactive filtered list of predicted ligandshttps://ljmartin.github.io/2020/01/31/Interative_filtering_of_predicted_ligands.html …
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Sam Finlayson proslijedio/la je Tweet
@RDKit_org integrates really nicely with@ProjectJupyter interactive widgets. Here's an example filtering predicted ligands for a target of interest by synthetic accessibility, drug-likeness, or similarity to prior art drugspic.twitter.com/m777eG7WLWHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I’ve tweeted this several times but please sign and amplify. Access to papers is often quite literally a matter of life+death for families affected by rare disease. It’s difficult for me to overstate how repugnant I find the opposition to this from the publishing industry.https://twitter.com/mattmight/status/1219846886984749057 …
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Sam Finlayson proslijedio/la je Tweet
“Polygenic scores are revolutionary because they are causal in only one direction. They don’t drop because tests make you nervous or rise because you grew up rich. They’re impervious to racism and other forms of prejudice.” https://twitter.com/WSJopinion/status/1222143491591020544 …pic.twitter.com/S0wXG6iYmz
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Really interesting thread on the disturbing transformation of an EHR companyhttps://twitter.com/dp_oneill/status/1222024155744178179 …
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Sam Finlayson proslijedio/la je Tweet
Ever wonder, are there any machine learning applications actually being used to care for patients in health care? If yes, check out our new review: https://emj.emg-health.com/wp-content/uploads/sites/2/2020/01/A-Path-for-Translation-of-Machine-Learning.....pdf … In it, we (
@Sehj_K@michaelgao88) present 21 ML products translated into clinical care THREADPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This is absolutely terrifying.https://twitter.com/Mike_Hixenbaugh/status/1221926956465381377 …
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Sam Finlayson proslijedio/la je Tweet
I'd love to see how any normal ct head detector performs on something rare and subtle like leptomeningeal disease. Until someone shows me conclusively otherwise (even a single example), I'm going to keep ranking "normal detectors" as among the most dangerous applications of AI.
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Sam Finlayson proslijedio/la je Tweet
In a opinion essay I wrote with
@zakkohane we ask Epic to stop its aggressive campaign opposing interoperability and to not block patients' rights to computable copies of their health data.https://www.statnews.com/2020/01/27/epic-block-proposed-data-rule/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Looks like really great work,
@arjunmanrai and@chiragjp!https://twitter.com/arjunmanrai/status/1221842020278267907 …
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Really enjoyed this thread showing data on ER doctor choices and the ramifications for observational research. (AKA medical research is hard reason #2436380)https://twitter.com/oziadias/status/1221531710820454400 …
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Sam Finlayson proslijedio/la je Tweet
I use http://mathcha.io , it generates tikz code from drawings you make. I like it more than ipe
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Sam Finlayson proslijedio/la je Tweet
If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by
@iamtrask. From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.https://github.com/OpenMined/PySyft/tree/master/examples/tutorials …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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