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A comment on Ask HN: Where is AI/ML actually adding value at your company?. Parent comment
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)
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)