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How FlightCaster Squeezes Predictions from Flight Data

88 pointsby pskomorochover 15 years ago

8 comments

jimbokunover 15 years ago
These guys appear to be having a hell of a lot of fun. Their technique of wrapping a stack from Amazon EC2 through Hadoop all the way up into Clojure, was the kind of thing I wondered about being possible, so it's pretty awesome to hear it is being done and done well by someone. The idea of iterating with Clojure in a REPL on a small dataset to develop or refine an algorithm, then pressing a button and see how it does running on some large dataset on EC2, sounds sublime.<p>Even if they never release any of the glue code that makes all this happen, just knowing it is possible is very encouraging.
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pskomorochover 15 years ago
An “in the trenches” interview on building a machine learning application with Rails &#38; Hadoop. During the interview on FlightCaster, Brad describes some of the challenges of working with flight data, statistical approaches for flight prediction, false negatives in FlightCaster, Clojure, Hadoop &#38; Amazon EC2, YCombinator, and more. Was pleasantly surprised at how open Brad was about the model internals and data crunching pitfalls.
caffeineover 15 years ago
In the article, it mentions Bradford's Amazon wishlist.<p>For the curious: <a href="http://www.amazon.com/gp/registry/wishlist/3RB4REDIKE28I" rel="nofollow">http://www.amazon.com/gp/registry/wishlist/3RB4REDIKE28I</a><p>And those that have been purchased (a better list): <a href="http://www.amazon.com/gp/registry/wishlist/3RB4REDIKE28I?reveal=purchased" rel="nofollow">http://www.amazon.com/gp/registry/wishlist/3RB4REDIKE28I?rev...</a>
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hexisover 15 years ago
It's great to see someone taking piles of data and pulling some meaning out of it. I think it's easy enough these days to be able to see the potential of data-mining a site like Facebook, but I expect a lot of value to come out of sites like FlightCaster that are getting value in domains that folks don't normally think of being data-intensive. Google was more or less data-mining, but it was a relatively easy set of data to access: public websites. Now, we're seeing the exploitation of more obscure, but not necessarily less valuable, data.
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cianchetteover 15 years ago
Great interview. It's amazing that they built all of this during the past couple of months. Awesome work guys!
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madangover 15 years ago
An informative interview providing better understanding of the amazing work this team has done. A well balanced team with great creativity, energy, dedication, perseverance not to mention their awesome talent. Great team work resulting in a quality product. You guys rock!
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lucraftover 15 years ago
Yes, but are their predictions correct? Anyone tried them out?
physcabover 15 years ago
Great interview. I'm more curious now as to each of your personal histories. Each of you seem like incredibly gifted domain experts.