Archive of month: January 2013

Layers of “data science”?

The field of “data science” covers a lot of areas, it feels like there’s a continuum of layers that can be considered and lumping them all as “data science” is perhaps less helpful than it could be. Maybe by sharing my list you can help me with further insight. In terms of unlocking value in […]
12 years ago

Do self-driving cars make the courier redundant?

I’ll start with a quote via “Why workers are losing the war against the machines” taken from A Farewell to Alms by economist Gregory Clark: “There was a type of employee at the beginning of the Industrial Revolution whose job and livelihood largely vanished in the early twentieth century. This was the horse. The population […]
12 years ago

Map/Reduce (Disco) on millions of tweets

Whilst working on data sciencey problems for AdaptiveLab I’m becoming more involved in simple visualisations for proof-of-concepts for clients. This ties in nicely with my PyCon Parallel Computing tutorial with Minesh. I’ve been prototyping a Disco map/reduce tutorial (part 2 for PyCon) using tweets collected during the life of SocialTies during 2011-2012. Using 11,645,331 tweets […]
12 years ago