[ml] what should the next class be?

Philip Faulconer accounts at faulconer.org
Fri Nov 2 22:49:42 UTC 2012

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
- Time Series Analysis

They all look like great topics, though.


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)
> _______________________________________________
> ml mailing list
> ml at lists.noisebridge.net
> https://www.noisebridge.net/mailman/listinfo/ml
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.noisebridge.net/pipermail/ml/attachments/20121102/3f922776/attachment-0001.html>

More information about the ml mailing list