NOT KNOWN FACTUAL STATEMENTS ABOUT MACHINE LEARNING DEVELOPMENT

Learners also can disappoint by "learning the wrong lesson". A toy example is the fact a picture classifier skilled only on pics of brown horses and black cats could conclude that each one brown patches are prone to be horses.[137] A true-world example is, as opposed to individuals, recent impression classifiers generally don't generally make judge