So far I’ve failed to capture some structure that makes a string of letters feel like a given name. Somehow being pronounceable isn’t sufficient for being a meaningful name. It feels like I need to find patterns in the given names from the social security data.
In part 4 I explored the space of possible names of a given length, and showed from the social security name data that a vanishingly small fraction of possible names get used as the length of the name increases to around 5 or 6 letters and beyond.
In part 3 I did some spelunking through the US social security name dataset. In this post I’ll continue to use that data to explore what names have been chosen in the space of possible names.
We had a baby! Toby Lev Letourneau was born April 13th 2017, and he’s such a cool kid:
In part 2 of this series, I explore an algorithm for combining phonemes.
Part 1 in a series of posts on a nerdy computational search for a name for our new son.
A post on the Wolfram blog about searching large genome databases using a MapReduce algorithm implemented with the Wolfram Language.
A post on the Wolfram blog about Hadoop and MapReduce integration with the Wolfram Language.
A post on the Wolfram blog about my experimental computation experiences at the Wolfram Science Summer School.
A post on the Wolfram blog about analyzing keystroke dynamics using the Wolfram Language.
A post on the Wolfram blog showing how to analyze your email using the Wolfram Language.
Hacking My Tech Career at Hacker School (2014)
In August 2014 I spoke about my Recurse Center (formerly Hacker School) experience at Champaign-Urbana’s Tech Mix meetup.
My Quantified Self Adventures at Wolfram (2014)
MapReduce in Mathematica (2013)
I gave a talk at the Commercial Users of Functional Programming conference in 2013. In part 1 I describe Mathematica’s functional language, and in part 2 I describe how to write algorithms in the MapReduce paradigm using Mathematica. The video taken of this talk is available from the CUFP site.