For instance, an algorithm could be fed a smaller sized quantity of labeled speech data after which educated on a much bigger set of unlabeled speech data as a way to create a machine learning design capable of speech recognition.One example is, biased coaching data utilized for choosing decisions may well reinforce gender or racial stereotypes and