Re:Machine-Learning Maestro Michael Jordan on the Delusions ...
by Daishiman on Tuesday October 21, 2014 @01:32PM
(#8488505)
I'm not talking strictly about a PhD, but about PhD level work, some of which can't really be done on your own unless you're a supremely talented individual.
You can look at some of the modern ML algorithms and see what I mean; many people that I know have worked with Latent Dirichlet Allocation, but they have no idea how the model works, and there's no way they could extend to work online or under certain performance or storage constraints without havin spent months and years working on that problem.
That's not a realistic expectation for anyone in the field. Yes, the algorithms you find in Weka and other ML toolkits are useful, but the actual "Big Data" problems have their own performance and algorithmic constraints that are far, far beyond dedicated self-learners.
You can look at some of the modern ML algorithms and see what I mean; many people that I know have worked with Latent Dirichlet Allocation, but they have no idea how the model works, and there's no way they could extend to work online or under certain performance or storage constraints without havin spent months and years working on that problem.
That's not a realistic expectation for anyone in the field. Yes, the algorithms you find in Weka and other ML toolkits are useful, but the actual "Big Data" problems have their own performance and algorithmic constraints that are far, far beyond dedicated self-learners.