Hello everyone! I am a third-year #PhD student on #StochasticProcesses and #MachineLearning at The University of #Edinburgh. I joined #mastodon in hopes of finding an active data science / machine learning community.
For more information, visit my (somewhat outdated) site:
http://homepages.inf.ed.ac.uk/s1478350/
Most informative Quantum Computing presentation I have seen!
https://youtu.be/Y3mcgq3_yEY?list=PL8_xPU5epJdf4OQjqwWzuwOqYcIJgR8vN
This western #philosophy series is exceptional!
https://www.youtube.com/playlist?list=PLwxNMb28XmpeypJMHfNbJ4RAFkRtmAN3P
"You've hired all these smart and kind people, let them do smart and kind things. Don't micro-manage them. Earn trust by giving trust. Say 'what would you do?' Don't give them a set of directions. Give them a map, compass and a destination. They will get there themselves, and feel better for it. Also if they come into some roadworks, or some snow, which you couldn't have predicted, they'll get around it." https://www.infoq.com/news/2018/05/happy-teams-are-high-performers
The brilliant Daphne Koller on the current problems in #computationalbiology and paths to take in #machinelearning.
Demonstrates remarkable insight and understanding of the meta.
This retrospective, "Feynman the joker", could alternatively be titled "Feynman the very smart A-hole" https://physicstoday.scitation.org/do/10.1063/PT.6.4.20180511a/full/
"Charles Darwin famously wrote that the eye caused him to doubt that random selection could create the intricacies of nature. Fortunately, Darwin did not know the structure of the retina: if he had, his slowly gestating treatise on evolution might never have been published at all."
Masland, 2012
On the metrics that plague modern science, by Peter A. Lawrence.
#Feynman to his student:
"Do not remain nameless to yourself — it is too sad a way to be."
A letter about which problems merit attention.
http://www.lettersofnote.com/2015/10/do-not-remain-nameless-to-yourself.html
An overview of the emergence of #AI through a historical lens and the roads it might lead to --- marvellously delivered by Stephen Fry at Nokia Bell labs as part of the Shannon Luminary Lecture Series.
I'm hanging out at the University of Washington Data Science Summit today and tomorrow. The keynote talk by Jevin West was excellent. I encourage anyone interested in #datascience and #science more generally to check out the the materials for his class Calling Bullshit: http://callingbullshit.org
Long-range #elephant communication through ground vibrations — maybe it should be 'rumble' instead of 'boost'!
https://physicsworld.com/a/elephant-rumbles-travel-more-than-6-km-through-the-ground/
Old, but ever relevant philosophical grounding for practitioners of #Bayesian statistics.
https://stat.columbia.edu/~gelman/research/published/philosophy.pdf
Hello everyone! I am a third-year #PhD student on #StochasticProcesses and #MachineLearning at The University of #Edinburgh. I joined #mastodon in hopes of finding an active data science / machine learning community.
For more information, visit my (somewhat outdated) site:
http://homepages.inf.ed.ac.uk/s1478350/