As well as many of the key innovations for OLEDs (patents they later sold to LG)
HN user
kfor
I like Vega-Lite: https://vega.github.io/vega-lite/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
They do mention covariates in section 6.1 - specifically how this method doesn’t support them but ideas on how they could in the future such as via stacking:
In this work, we have focused on univariate time series forecasting since it constitutes the most common of real-world time series use-cases. Nevertheless, practical forecasting tasks often involve additional information that must be taken into account. One example involves covariates, that can be either time-independent (e.g., color of the product) or time-varying (e.g., on which days the product is on sale). Another closely related problem is multivariate forecasting, where historic values of one time series (e.g., interest rates) can influence the forecast for another time series (e.g., housing prices). The number of covariates or multivariate dimensions can vary greatly across tasks, which makes it challenging to train a single model that can handle all possible combinations. A possible solution may involve training task-specific adaptors that inject the covariates into the pretrained forecasting model (Rahman et al., 2020). As another option, we can build stacking ensembles (Ting & Witten, 1997) of Chronos and other light-weight models that excel at handling covariates such as LightGBM (Ke et al., 2017).
Thanks for this! I've been going crazy for months that Twitter threads and replies are totally broken if you are logged out (which I always am since deleting my account in December). And now Nitter has led me to LibRedirect[1] which not only automatically redirects Twitter links but also lots of other common links like TikTok.
Lots of great suggestions here, but one I haven't seen is providing deep links. Let users share the exact state of their dashboard with others, ideally without requiring some convoluted system of logging in and sharing things. We implemented it by allowing a json config in the url, then providing a button to copy a shortened URL containing the whole config.
Original creator of (the now woefully dated-looking) GBD Compare [https://vizhub.healthdata.org/gbd-compare/] here, where we found this super useful since we had so many controls that it could take a lot of clicking (and knowledge of the UI) to recreate a graph someone else was looking at. It really helped with reach, as folks could email/tweet their specific view then others could use that as a starting point to dive in without starting from scratch or having to create an account.
Do you worry that you risk introducing bias into your interview process with this sort of unstructured questioning? There is quite a bit of research [1] demonstrating that structured and standardized interviews across candidates are one of the most crucial ways of preventing various types of bias, conscious or not.
[1] Here's a useful summary article: https://hbr.org/2016/04/how-to-take-the-bias-out-of-intervie...
Thanks, I’ll give it a shot sometime and share whatever I figure out
When I looked into it a couple years ago, it was possible to configure nbdev to use e.g. GitLab instead of GitHub for those of us who can't use GitHub for whatever reason. Is this still possible with the rewrite? Any major things we'd be missing out on?
And thanks for putting together such an awesome resource, I'm excited to try kicking the tires on it again!
I highly recommend How to Lie with Statistics (1954) to learn more about these sorts of misleading stats: https://en.wikipedia.org/wiki/How_to_Lie_with_Statistics
Awesome book, Ravin! I’m waiting for my physical copy to arrive (should be here tomorrow!) before really diving in, but what I’ve skimmed in the digital copy so far is great.
Btw I’ve been using PyMC2 since 2010 and contracted a bit with PyMC Labs, so I’m surprised we’ve never bumped into each other!
And it’s not just that the wheel well needs to be in front of the passengers, but also the front crumple zone is very important to passenger safety in many of the most common crash scenarios.
It’s out of date at this point, but I plotted the Global Health Security Index against covid death rates back in November if you’d like to get a sense of the relationship: https://twitter.com/kforeman/status/1331035362676785152
Institute for Health Metrics and Evaluation | Software Engineer | healthdata.org | Seattle, WA | Full-time | ONSITE
Institute for Health Metrics and Evaluation | Statistical Modeler | healthdata.org | Seattle, WA | Full-time | ONSITE
Institute for Health Metrics and Evaluation | Data Analyst | healthdata.org | Seattle, WA | Full-time | ONSITE
At the Institute for Health Metrics and Evaluation (IHME) we do cutting-edge data science to help improve the world's health. We're a team of 400 data scientists, researchers, engineers, epidemiologists, physicians, and more working to help places like the Bill and Melinda Gates Foundation, NGOs, ministries of health around the world, and others make the best decisions about how to invest resources to maximize global health. Read more about why the Gates Foundation recently invested nearly $300M in us here: https://www.gatesfoundation.org/Media-Center/Press-Releases/...
We have job openings for data scientists, software engineers, statisticians, data analysts, etc. You can apply online at http://www.healthdata.org/get-involved/careers
For those interested in global health, we've tried to collate as much data as possible at http://ghdx.healthdata.org/ (disclosure: I'm the director of data science at IHME, which hosts this).
Note that most of this data is population level epidemiologic and administrative stuff, not the detailed biomedical measurements I see most people requesting - but I promise you there's some really interesting things that can be done with it nonetheless!
I'm not an iOS dev but as a Seattleite I really appreciate your work - thanks!
Institute for Health Metrics and Evaluation | Seattle, WA Data Scientists / Software Architects / DBAs / Javascript Developers
http://www.healthdata.org/get-involved/careers
IHME is 250 person independent research institute affiliated with the University of Washington, primarily focused on global health research and statistics.
I'm looking for data scientists / researchers / devs / architects for a cool project we're working on that aims to simulate the health of the entire world. Experience with distributed computing a must, as this is a massively parallel task. We've also got openings for JS devs, DBAs, and more.
We've got a lot of fun toys to play with like a 20k core cluster and all the latest Spark gizmos, plus you get to work on projects that have proven impact on the world.
Contact me at kfor at uw dot edu if you're interested.
Agreed. I would use latex for everything but I need to work with collaborators who are only used to writing in Word with track changes. Something that would allow me to write in latex then still share for editing with less tech savvy people would be wonderful.
Creator of GBD Compare here, funny to see it on HN! Worlds collide.
Disclosure: I created GBD Compare (the website Gates tangentially mentions in his book review) as part of my masters work in 2011.
I think this is actually a benefit for consumers, but this just seems like an invitation to an antitrust suit.
I wonder how Nvidia building their own machines goes over with the many, many third party partners building similar rigs. On the Supercomputing 2014 showroom floor it seemed like half the booths were selling something like this and were covered in Nvidia branding.
Exactly. Maybe it's because the top 20 stuck around in YC long enough to be badgered by Paul Graham into getting a .com?
That said, I don't disagree with him on .com, I just don't think this particular factoid adds anything to the argument.
Institute for Health Metrics and Evaluation | Seattle, WA
Data Scientist / Simulations and Forecasting Researcher
IHME is 250 person independent research institute affiliated with the University of Washington, primarily focused on global health research and statistics.
I'm looking for a data scientist / researcher / dev for a cool project we're working on that aims to simulate the health of the entire world. Experience with distributed computing a must, as this is a massively parallel task.
We've got a lot of fun toys to play with like a 20k core cluster and all the latest Spark gizmos, plus you get to work on projects that have proven impact on the world.
Contact me at kfor at uw dot edu if you're interested.
Institute for Health Metrics and Evaluation (UW) | Seattle, WA | Developers, Data Scientists, Research Fellows
Tired of spending your time trying to trick people into clicking on ads and buying things they don't need? Put your big old brain to better use by using cutting edge data science to tackle global health and development.
IHME has spent nearly a decade bringing global health statistics into the modern age, working with the Gates Foundation, NGOs, and governments around the world to better understand and address problems related to health and development. We're up to 250 employees now, with hundreds of collaborators around the world. Our flagship Global Burden of Disease project has been cited tens of thousands of times and has effected real change.
For developers, we have postings for javascript, databases, and drupal. We're also looking for a scrum master and project officers. There's postings for data analysts and researchers right now, and there are some data scientist roles that should be posted soon. Contact me if you're interested.
Pandas were planted by creationists to instill doubt in evolution.
I head up the scientific computing team at IHME (the institute the article talks about), happy to answer questions.
I started out doing a fellowship [0] there, it was a great first job.
I don't use Spotify so I was unaware of that - really interesting (and clever/dastardly).
Site appears to be buckling under the load, here's the Google cache: http://webcache.googleusercontent.com/search?q=cache:JiivGj-...
Agreed that having fans play your music on mute would be just as - if not more - effective, and would work without creating a prime target for banning. But I think in this case it made for a very effective "statement", even if it could've been a more efficient hack.
Vulfpeck is also the band behind Sleepify[1], the album of ten silent 30s songs which fans looped on Spotify while they slept. Vulfpeck earned $20k as a result and used it to organize a tour.