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BIDS Announces 2018 Call for Data Science Fellows

Marsha Fenner / March 22, 2018

The Berkeley Institute for Data Science (BIDS) invites applications for our Data Science Fellows Program. Letter of Intent due April 2, 2018

David Mongeau

Announcing our new BIDS Executive Director, David Mongeau

Saul Perlmutter / March 20, 2018

To the Berkeley Research Community: It is a genuine pleasure to announce the appointment of David Mongeau as the Berkeley Institute of Data Science's (BIDS) new Executive Director.

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BIDS launches new Statistics and Machine Learning Discussion Group

Marsha Fenner / March 16, 2018

The new Berkeley Statistics and Machine Learning Discussion Group will meet weekly at BIDS to discuss statistical and data science methods and their applications across a wide variety of domain research sciences.

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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.

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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:

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UC Berkeley Launches 'Foundations of Data Science' Certificate Program on edX

Marsha Fenner / January 25, 2018

UC Berkeley's Division of Data Sciences and edX have recently announced that Berkeley's popular Foundations of Data Science course will be available online this spring as a Foundations of Data Science Professional Certificate Program.

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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.