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Provide a reason for using Perl versus something else, and the modules you chose (I know several don't have alternatives). Also make sure that the FCM algorithm gets accross despite any possible language barriers that may exist in your audience. I suggest showing a flowchart of the algorithm before the Perl implementation and then highlighting some of the stages within the Perl. Also check your function header for the fcm function, I don't think it is accurate.

Regarding the SVM part, try to explain SVM better than the wikipedia article. I just couldn't grok it so I don't have much else to say. Perhaps explain why you're using IPC::Open3 to talk to a library and not XS or Inline?

The third part seems rather easy to understand if one has a basic knowledge of ANNs and how they're represented mathematically, the one major inconsistency I find is you talk a lot about doing things with Data, but what data will you use? Will it be the stock market data mined in the beginning of PartI for consistency or will you use simpler data later on to allow the points to shine through?


In reply to Re: RFC: Presentation on Machine Learning with Perl by Trizor
in thread RFC: Presentation on Machine Learning with Perl by lin0

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