talks
Data source:
https://csvconf.com/
0 rows
where abstract = "When we saw that the Stranger%2C Seattle%E2%80%99s alternative newspaper%2C was running a survey on kinks and sexual preferences%2C we knew we had to get our hands on the data. We convinced the that using machine learning methods on the responses would be a good idea%2C and then we quickly set out to analyzing them. But we had never written an article for a newspaper before%E2%80%94nor had we worked with data even remotely as dirty. It turns out what makes for a good blog post or technical journal is very different than writing for print%2C especially for such a sensitive topic. In this talk we will cover how we made sense of the lewd data%2C the statistical methods we used %28and failures we produced%29%2C as well as the final results that ended up in our feature article%3A %E2%80%9CThere Are Four Kinds of Sex Partners %28which one are you%29.%E2%80%9D", datetime = "2019-05-09T16%3A00%3A00", day = "May 9 2019" and speaker = "Jacqueline Nolis %26 Heather Nolis" sorted by url
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CREATE TABLE [talks] (
[title] TEXT,
[speaker] TEXT,
[time] TEXT,
[day] TEXT,
[room] TEXT,
[url] TEXT,
[datetime] TEXT,
[abstract] TEXT,
[image] TEXT
)