Our publisher, Manning, has kindly sent us complimentary copies of the new Simplified Chinese translation of Practical Data Science with R. We can’t read it, of course, but it’s cool (and a bit intimidating) to see what our work looks like in another language and character set. Here are a couple of peeks inside, just […]
An excellent rant from John Oliver on the way science stories are handled in the media, and on the need for some healthy skepticism. And the need to track down sources for the studies yourself, to the extent that this is possible. Also, I love the “TODD Talks” skit at the end.
…propaganda, Boris Artzybasheff. Image: James Vaughan, some rights reserved. We’re in the middle of marketing efforts here at Win-Vector, and I’ve just spent a few hours going through the Win-Vector blog so I could update our Popular Articles page (I have to do that for Multo, someday, too). As I went through the blog, I […]
I put a new post up on Win-Vector a couple of days ago called “The Geometry of Classifiers”, a follow-up post to a recent paper by Fernandez-Delgado, et al. that investigates several classifiers against a body of data sets, mostly from the UCI Machine Learning Repository. Our article follows up the study with seven […]
I ran across this essay recently on the role of design standards for scientific data visualization. The author, Jure Triglav, draws his inspiration from the creation and continued use of the NYCTA Graphics Standards, which were instituted in the late 1960s to unify the signage for the New York City subway system. As the author […]