Updates tagged with machinelearning on Hacker Poesy!
steve: From MLSTjournal http://status.hackerposse.com/url/24257 on Twitter: NOW >18K DOWNLOADS!ðŸ¥³'#Deeptime: a #Python library for #machinelearning dynamical models from #timeseries..' by @FrankNoeBerlin @eigensteve @andreasmardt @brookehus @tmhmpl et al @FU_Berlin @ME_at_UW @uwengineering @phybiofunc http://status.hackerposse.com/url/24258 #compchem #AI #dynamics #HPC http:// https://chirp.cooleysekula.net/notice/337687
steve's status on Saturday, 11-Mar-2023 07:10:26 EST
From MLSTjournal http://status.hackerposse.com/url/24257 on Twitter: NOW >18K DOWNLOADS!ðŸ¥³'#Deeptime: a #Python library for #machinelearning dynamical models from #timeseries..' by @FrankNoeBerlin @eigensteve @andreasmardt @brookehus @tmhmpl et al @FU_Berlin @ME_at_UW @uwengineering @phybiofunc http://status.hackerposse.com/url/24258 #compchem #AI #dynamics #HPC http://…
drak: What’s important is expressing a program as what you want it to do not how to do it: https://vimeo.com/71278954 sounds like #machinelearning
drak's status on Monday, 02-Dec-2019 05:47:14 EST
What’s important is expressing a program as what you want it to do not how to do it: https://vimeo.com/71278954 sounds like #machinelearning
steve: From HEPfeickert http://status.hackerposse.com/url/16917 on Twitter: Listen to my @ATLASexperiment colleague, @WonderMicky, explain on @guardian's Science Weekly podcast how #MachineLearning is currently being used in particle physics research @CERN to improve current analyses and search for evidence of new #physics! http://status.hackerposse.com/url/16918
steve's status on Thursday, 18-Jan-2018 17:11:09 EST
From HEPfeickert https://twitter.com/HEPfeickert on Twitter: Listen to my @ATLASexperiment colleague, @WonderMicky, explain on @guardian's Science Weekly podcast how #MachineLearning is currently being used in particle physics research @CERN to improve current analyses and search for evidence of new #physics! https://www.theguardian.com/science/audio/2018/jan/17/questioning-ai-what-can-scientists-learn-from-artificial-intelligence-science-weekly-podcast