The idea behind ShufflerTV, which is set to officially launch Wednesday, is pretty simple: The site aggregates videos posted on music blogs and online music magazines like Pitchfork, XLR8R, Urb.com and the Fader, and compiles them to individual stations. The result are continuous streams of music videos that have been curated by people who actually know what they’re talking about.
Shuffler.fm combines this with a really neat player that allows users to skip songs, check out what’s coming next, change stations, subscribe to specific stations to easily access them and share individual videos on Twitter, Facebook (s FB) and Google+. (s GOOG)
ShufflerTV integrates with Shuffler.fm’s audio site, which has been doing this kind of curated music programming sans video for…
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As you might have heard before if you read McKinsey reports, the New York Times or just about any technology news site, data scientists are in high demand. Heck, the Harvard Business Review called it the sexiest job of the 21st century. But landing a gig as a data scientist isn’t easy — especially a top-notch gig at a major web or e-commerce company where merely talented people are a dime a dozen.
However, companies are starting to talk openly about what they look for in data scientists, including the skills someone should have and what they’ll need to know to survive an interview. I spent a day at the Predictive Analytics World conference on Monday and heard both Netflix and Orbitz give their two cents. That’s also the same day Hortonworks published a blog post about how to build a data science team.
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