There has been a lot of discussion lately about whether to be in academia or industry. Some of it I think is a bit unfair to academia. Then I saw this post on Quora asking what Hilary Mason’s contributions were to machine learning, like she hadn’t done anything. It struck me as a bit of academia hating on industry*. I don’t see why one has to be better/worse than the other, as Roger points out, there is no perfect job and it just depends on what you want to do.
This is yet another outstanding post by Paul Graham, this time on “Schlep Blindness”. He talks about how there are great startup ideas that no one considers because they are too much of a “schlep” (a tedious unpleasant task). He talks about how most founders of startups want to put up a clever bit of code they wrote and just watch the money flow in. But of course it doesn’t work like that, you need to advertise, interact with customers, raise money, go out and promote your work, fix bugs at 3am, etc.
Amy Heineike <div> <strong><img src="http://media.tumblr.com/tumblr_m1588osxOV1r08wvg.jpg" /></strong> </div> <div> <strong><br /></strong>Amy Heineike is the Director of Mathematics at <a href="http://quid.com/" target="_blank">Quid</a>, a startup that seeks to understand technology development and dissemination through data analysis. She was the first employee at Quid, where she helped develop their technology early on. She has been recognized as one of the <a href="http://thephenomlist.com/lists/8/people/32" target="_blank">top Big Data Scientists</a>. As a part of our ongoing <a href="http://simplystatistics.
Companies that specialize in data analysis, or essentially, statistics, are getting gobbled up by larger companies. IBM bought SPSS, then later Algorithmics. MSCI bought RiskMetrics. HP bought Autonomy. Who’s next? SAS?