[Verse 1] Picture data scientists with detective cases Some have answers written on the faces Others hold mysteries without a clue Two different worlds, but both ring true Labeled datasets whisper secrets clear While unlabeled data makes patterns appear [Chorus] Supervised needs a teacher's guidance Labels show the way with confidence Unsupervised explores alone Finding clusters on its own Teacher versus explorer's mind Two approaches, truth to find [Verse 2] Classification sorts the spam from real Regression predicts how stocks will feel Training sets with inputs matched to goals Like flashcards teaching different roles Each example paired with right answers Creating algorithmic dancers [Chorus] Supervised needs a teacher's guidance Labels show the way with confidence Unsupervised explores alone Finding clusters on its own Teacher versus explorer's mind Two approaches, truth to find [Bridge] Clustering groups without instruction Finds hidden market construction Principal components reduce dimensions While supervised learns with clear intentions Both powerful in their domain Different methods, knowledge gained [Verse 3] Portfolio analysis groups assets tight Unsupervised reveals what's out of sight Meanwhile supervised predicts defaults Using history's recorded faults Target variables guide the learning curve While pattern mining has different nerve [Chorus] Supervised needs a teacher's guidance Labels show the way with confidence Unsupervised explores alone Finding clusters on its own Teacher versus explorer's mind Two approaches, truth to find [Outro] CFA candidates remember well Both methods have stories to tell Labeled learning, unlabeled discovery Financial wisdom's dual recovery
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