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.