Blog: Data Science Insights

BIDS hosts the inaugural GraphXD workshop

Jarrod Millman / April 13, 2018

During spring break (March 27–29, 2018), BIDS hosted the first annual Graphs Across Domains (GraphXD) workshop. Lauren Ponisio

Love Data Week - February 12-16, 2018

Yasmin AlNoamany / February 1, 2018

The University Library, Research IT, and Berkeley Institute for Data Science (BIDS) invite you to a series of events on February 12th-16th for Love Data Week 2018. Love Data Week is a nationwide campaign designed to raise awareness about data visualization, management, sharing, and preservation.

Automatic MCMC hyperparameter sensitivity measurements in Stan -- A worked example

Ryan Giordano / January 31, 2018

We will now follow up our previous post on automatic MCMC hyperparameter sensitivity with a detailed use case taken from the Stan examples. All the code to produce the results below, as well as more examples, can be found in the examples folder on the rgiordan/StanSensitivity git repo. This simple, real-life example has a number of interesting features:

Automatic MCMC hyperparameter sensitivity measurements in Stan

Ryan Giordano / January 19, 2018

A Bayesian approach to statistical modeling comes with many advantages. For example, it's the only logically coherent way to model uncertainty of parameter estimates! Being Bayesian has never been easier than it is now, thanks to high-quality, easy-to-use automatic tools like Stan.

Binder 2.0 has arrived!

Chris Holdgraf / November 30, 2017

The Berkeley Institute for Data Science (BIDS) is pleased to announce the release on Binder 2.0! Binder is a collection of technology that makes it easy to create sharable, interactive computing environments that run in the cloud. It makes it possible to run a server that enables users to specify their computational environment with commonly-used text files (such as requirements.txt for python users).

Pages