And, we’re back! After being off-line for several weeks, this site is now live again! I can’t imagine you missed it.
Here’s what happened. Let’s start at the beginning. In 2003, ICANN added
.nameto the list of top-level domains (like.com,.edu, etc.). The idea is that individuals would use it for personal sites and …
Read MoreFor those people (or, more likely, 0 or 1 persons) who follow this blog to catch up on my professional thoughts: I’ve been doing a little bit of writing on the Data Community DC blog. Here are all my posts over there: http://datacommunitydc.org/blog/author/harlan/ I’d definitely encourage you to read everyone else’s …
Read MoreI recently gave a presentation on communication issues around the terms “Data Science” and “Data Scientist”, based in part on a survey that I did with my Meetup colleagues Marck and Sean. The basic idea is that these new, extremely-broad buzzwords have resulted in confusion, which has impacted the ability of people …
Read MoreMy newish cooking club had a dinner yesterday with the theme American Beer. I was tasked with dessert, and came up with this recipe for Pretzel Whoopie Pies. They turned out extremely well, so I thought I’d share the recipe here.
Sources:
- About.com Southern Food (basic whoopie pie recipe)
- Southern Living (Stout …
Read MoreI just returned from the useR! 2012 conference for developers and users of R. One of the common themes to many of the presentations was integration of R-based statistical systems with other systems, be they other programming languages, web systems, or enterprise data systems. Some highlights for me were an update to …
Read MoreAs I’ve discussed here before, there is a debate raging (ok, maybe not raging) about terms such as “data science”, “analytics”, “data mining”, and “big data”. What do they mean, how do they overlap, and perhaps most importantly, who are the people who work in these fields?
Along with two other DC-area Data Scientists, …
Read MoreOn last week’s Build and Analyze – a great podcast nominally about iOS development, but actually more about just living a tech-geek lifestyle – Marco talked a lot about the rumored “Apple TV” and whether it could actually be a groundbreaking product. He concluded that it probably couldn’t. Most people wouldn’t dump a …
Read MoreI’m fond of navel gazing, meta discussions, and so forth. I’ve recently written about inferring navel gazing from link data, and about the meaning of the “Analytics” buzzword. This post will be my second on that other infectious buzzword, “Data Science”.
When I moved to Washington DC in July, I was struck by the fact …
Read MoreThis past Friday, the web portal to the US Federal government, USA.gov, organized hackathons across the US for programmers and data scientists to work with and analyze the data from their link-shortening service. It turns out that if you shorten a web link with bit.ly, the shortened link looks like 1.usa.gov/V6NpL …
Read MoreIn my previous post, I motivated a web application that would allow small-scale sustainable meat producers to sell directly to consumers using a meat share approach, using constrained optimization techniques to maximize utility for everyone involved. In this post, I’ll walk through some R code that I wrote to …
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