620 karma · joined April 29, 2014
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.
> 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).
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.
[1] Here's a useful summary article: https://hbr.org/2016/04/how-to-take-the-bias-out-of-intervie...
And thanks for putting together such an awesome resource, I'm excited to try kicking the tires on it again!
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!
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
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!
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.
That said, I don't disagree with him on .com, I just don't think this particular factoid adds anything to the argument.
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.
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.
I started out doing a fellowship [0] there, it was a great first job.