Choice of ML


  • Want something that is potentially human comprehensible? Use decision trees or rules.
  • Have a situation where you have lots of memory, but have to learn incrementally and evaluate quickly? Use Nearest Neighbour.
  • Have a clear binary decision in a continuous space? Use SVMs.
  • Have thousands of independent attributes and lots of data? Use Naive Bayes.
  • Have a situation where you know which attributes are correlated with which? Use Bayes nets.

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