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.
Node.js in an Embedded Environment
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