[ml] what should the next class be?

Brett Bowman bnbowman at gmail.com
Fri Nov 2 20:00:53 UTC 2012

My vote is for Information Theory or Clustering.

If you do either AA or SVMs, I can bring a few slides to talk about my
graduate work in the area, if anyone is interested.

On Nov 2, 2012 12:50 PM, "Mike Schachter" <mschachter at eigenminds.com> wrote:

> Hey everyone,
> I'd like to teach an ML class some time this month. What would you
> like it to be? Here's some options, feel free to request others:
> Generalized Linear Models
> Support Vector Machines
> Random Forests
> Neural Networks (artificial)
> Machine Learning in Neuroscience
> Basic Information Theory
> Clustering (k-means and gaussian mixture models)
> Principle Components Analysis (PCA)
> Independent Components Analysis (ICA)
> Time Series Analysis (Correlation functions, Fourier Transforms)
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> ml at lists.noisebridge.net
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