Spectral Algorithms for Learning Latent Variable Models

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We are happy to share with you a recent talk by Sham Kakade from Microsoft recorded at the NYC Machine Learning meetup . In this talk he discusses a general and (computationally and statistically) efficient parameter estimation method for a wide class of latent variable models---including Gaussian mixture models, hidden Markov models and latent Dirichlet allocation---by exploiting a certain tensor structure in their low-order observable moments.


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Node.js in an Embedded Environment

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Today's geek talk was recorded at last week's NY Node.js meetup.  In this talk Matt Walters and Dave Alexander from Koko Fit Club show how they're using Node.js to create a high tech touch-screen treadmill. Your browser does not support the audio element. You can get code examples from this talk here