This looks pretty slick, will have to see which parts/ideas we should copy for https://mybinder.org. Which is an open-source project that lets you do something very similar, mostly based around people wanting to share notebooks. Colab but with automatically detected environment/build instructions.
At the current level of usage and compute resources it costs about $50000 per year to run the services, if you don't have to pay the humans that help build and run it. We are an open project, if anyone wants to join to learn more about Kubernetes, Jupyter, Ops, Python, Docker you would be very welcome. We hang out on https://gitter.im/jupyterhub/binder and https://github.com/jupyterhub/binder is a meta repository.
That is the right link. Unfortunately we haven't yet found a good UX solution to people sharing the "wrong" link which only works for their personal instance.
Pretty cool idea. How long does it normally take for an alarm to happen after an email is sent to the insider's email address? I just emailed my insider about 5min ago and there is no alarm yet.
Tim is a scientist at the Large Hadron Collider and open source tool maker. I help develop open source software that is used by thousands of businesses and organisations to effectively model and learn about their data (http://github.com/betatim). I also lead a team of five to innovate on pattern reconstruction, particle detection, and experiment design which helped CERN develop a system able to process data at an unprecedented rate.
Tim consults on machine-learning, statistics and software development. Tim helps
companies make data driven decisions by taking advantage of the data they have, building predictive models with that data, integrating expert knowledge, solving computational challenges and interpreting the results.
I consult on machine-learning, statistics and software development. I help companies make data driven decisions by taking advantage of the data they have, building predictive models with that data, integrating expert knowledge, solving computational challenges and interpreting the results.
Background:
Tim has a PhD in Physics and several years experience as a post-doc working at CERN. My PhD research focussed on analysing large amounts of data using advanced statistical methods and machine-learning techniques. As a research fellow at CERN and EPFL I created and lead software teams responsible for designing the upgrade of the LHCb experiment. I value clear communication and often find myself interpreting between different groups of experts. I contribute to several open source projects which form the scientific python stack. I created a successful training program for scientists which dramatically reduces the on boarding time for new members of the collaboration.
The reasoning goes like this: 2/2862 funds made it (or about 0.07% of funds).
The author then says: If you assume a fund has a 50% chance of beating the market, and a 50% chance of falling behind then the chances of one beating the market five years in a row would be 0.5^(5 * 2). They just state that they flip a coin twice per year per fund (hence 0.5^10), can someone explain why?
Regarding the creation of the links to read the articles. For me the readcube link is just made from the DOI you get on the public webpage. It is so simple that I even wrote a little bookmarklet to do it: https://betatim.github.io/posts/read-any-nature-paper-for-fr...