Monthly Archives: May 2015

Yesterday I was in Chicago for a full-day workshop on Bayesian statistics at Orbitz Worldwide.  In the morning I presented “Learning to Love Bayesian Statistics”, an overview of Bayesian approaches and my attempt to debunk the myths.  The attendees seemed interested, and asked great questions.  Their photographer was kind enough to share some photos from […]

For the ATLAS program at the University of Twente last week, I taught a two-day workshop based on the Beauty and Joy of Computing curriculum.  Here I am chatting with two of the students:

This week I am visiting the University College at Twente, which is in the process of creating a new program in Technology and Liberal Arts & Sciences (ATLAS).  When I arrived yesterday, they were just putting the new sign on the building: Today I am teaching two workshops, one based on the Joy and Beauty […]

The talks and posters for SciPy 2015 have been posted, and I’m happy to report that two of them are mine.  I’ll be presenting Will Millennials Ever Get Married? Survival Analysis and Marriage Data Recent studies report that an increasing share of Americans have never married, which suggests that current young adults might marry at […]

One of the joys of working on free books is the chance to collaborate with people all over the world.  The Python version of How to Think Like a Computer Scientist was translated by Jeff Elkner in 2000 (plus or minus), but I never met him in person until PyCon 2013! This year, I finally […]

For the last day of Signals and Systems we had a design session where students and some visiting faculty made concept maps of the topics we covered this semester, then we redesigned the class, generating a lot of ideas for things we might do differently (better?) next time. We heard a lot of thoughtful suggestions, […]

The tutorial schedule for SciPy2015 has been posted, and I am happy to announce that Chris Fonnesbeck and I are offering a two-session sequence on Computational Statistics. Here’s the description for my Computational Statistics I: Statistical inference is a fundamental tool in science and engineering, but it is often poorly understood. This tutorial uses computational […]