[ml] what should the next class be?

[Greg Hornby]

+1: Support Vector Machines
+1: Neural Networks (artificial)
+1: Machine Learning in Neuroscience
+1: Clustering (k-means and gaussian mixture models)


On Fri, Nov 2, 2012 at 3:35 PM, asa hammond <asa.mlists at gmail.com> wrote:
> +1 for Machine Learning in Neuroscience
> +1 ANN
>
> On Nov 2, 2012, at 2:25 PM, William Sell wrote:
>
> Information Theory or Neural Networks would be interesting
>
> 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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