Last year, I wrote about the Reef Life Survey (RLS) project and my experience with offline data collection on the Great Barrier Reef. I found that using auto-generated flashcards with an increasing level of difficulty is a good way to memorise marine species. Since publishing that post, I have improved the flashcards and built a tool for exploring the aggregate survey data. Both tools are now publicly available on the RLS website. This post describes the tools and their implementation, and outlines possible directions for future work.

Going from a research idea to experiments is fundamental. But this step is typically glossed over with little explicit advice. In academia, the graduate student is often left toiling away—fragmented code, various notes and LaTeX write-ups scattered around. New projects often result in entirely new code bases, and if they do rely on past code, are difficult to properly extend to these new projects.

David Blei, Ian Goodfellow, Balaji Lakshminarayanan, Shakir Mohamed, Rajesh Ranganath, and I are organizing a workshop at ICML this year, titled “Implicit Models”.

This is just a short note to highlight a new paper I read recently:

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Here is a bit more explanation from the introduction to the exercise document:

May 2018: Click here for an updated review, and here for a recent collection answers to common questions I get asked about Data Incubator

Since Memorial Day in the U.S. is the unofficial start of the summer season, I figured today would be a good time to launch the SUMMER OF DATA SCIENCE 2017!!!

I just got home from my sixth PyCon, and it was wonderful as usual. If you weren’t able to attend—or even if you were—you’ll find a wealth of entertaining and informative talks on the PyCon 2017 YouTube channel.