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> ML = anything where parameters are learnt from data. In some ML algorithms you don't learn parameters. For example: some clustering algorithms are based on e
by jorgemf 10y ago
> ML = anything where parameters are learnt from data.
In some ML algorithms you don't learn parameters. For example: some clustering algorithms are based on examples, not on parameters.
> Yes, this means ML is "just" statistics
So, a decision tree based on information theory would you call it statistics? Information theory and statistics are not clearly the same.
> I thought this was pretty much an accepted definition.
Machine Learning: A machine that learns (regardless it uses statistics, information theory, function optimization, biological inspiration or whatever)
- nl 10y agoSure, I think minimization/maximization techniques (eg, as used in clustering and tree based learners) are generally regarded as ML too.