I’ve done some copyediting as part of my job, especially with marketing material. Certain basic mistakes come up so often that I made a list that I’ve been tempted to give to whoever gave me the original content and say “please make sure that it doesn’t have any of these problems first!” I didn’t, but for those who are interested, following these simple rules will make your writing look more professional. The nice thing about these is that, unlike with truly good writing, no skill and very…

Querying machine learning movie ratings data with SPARQL

Well, movie ratings data popular with machine learning people.

While watching an excellent video about the pandas python data analysis library recently, I learned about how the University of Minnesota’s grouplens project has made a large amount of movie rating data from the movielens website available. Their download page lets you pull down 100,000, one million, ten million, or 100 million ratings, including data about the people doing the rating and the movies they rated.

Artificial Intelligence, then (1960) and now

Especially machine learning.

Earlier this month I tweeted “When people write about AI like it’s this brand new thing, should I be amused, feel old, or both?” The tweet linked to a recent Harvard Business Review article called Data Scientists Don’t Scale about the things that Artificial Intelligence is currently doing, which just happened to be the things that the author of the article’s automated prose-generation company is doing.