Hi,
I have 5 feature sets containing file characteristics, header information, strings of the files etc but no videos or other heavy stuff. Heaviest file contains the strings with around 300k rows. I am looking to apply extreme learning machine, fuzzy logic and deep learning on these feature sets. Only thing i know that the approach I should use must be faster and take less resources.
Could any one suggest which approach I should go with and any idea about some good material to apply these approaches.
Regards
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
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