For instance, an algorithm can be fed a lesser amount of labeled speech data after which properly trained on the much larger set of unlabeled speech data so that you can make a machine learning product capable of speech recognition.Modern-day-day machine learning has two aims. 1 would be to classify data based upon versions that have been produced;