[ml] what should the next class be?

[Philip Faulconer]

Hi Mike (et al),

Those all look like great topics.  I recently completed the Coursera ML
course by Professor Andrew Ng and learned a great deal.  A few topics
you've listed that I'm keen to learn more about are:
- Random Forests
- ICA
- Time Series Analysis

They all look like great topics, though.

Cheers,
-Philip

On Thu, Nov 1, 2012 at 2:57 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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>
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