At the Data Science Summit, Professor Carlos Guestrin spoke about the must-haves for machine learning in production.
Last week marked our 2nd annual Clari hackathon. Thirty straight hours of hacking pulled in almost everyone in the company: design, engineering, product, QA, sales, and marketing. After a day and night that was highlighted by killer (and critical) coffee, a midnight ping-pong tourney, an occasional monitor downed by a Nerf football, and a few people realizing sleeping all night under your desk looks more comfortable on TV than in real life, we finally slid into pizza-and-beer-powered presentations and awards.
I remember the first time I heard the term "data science." It seemed like nothing more than statistical analysis applied to large amounts of data.
I used to build software for Wang (no, that’s not a typo and then HP and Microsoft.