unsupervised learning has been used in anomaly detection, e.g. for recognizing online fraud, or bringing novel patterns to the attention of a person. popular techniques for unsupervised learning ...

By balancing self-reinforcement with critical external feedback, we can optimize learning systems to foster deep, lasting expertise while avoiding the traps of unsupervised overconfidence.