🎓 Supervised vs Unsupervised Learning (10 mins)

ML comes in two main flavors:

  • Supervised Learning: It’s like teaching with a labeled example. Imagine teaching a child to recognize animals by showing labeled pictures, "This is a cat," "This is a dog."

Example: Your phone recognizing your face to unlock the screen. It learns from previous images of your face.

  • Unsupervised Learning: It finds patterns without any labeled examples. Imagine sorting puzzle pieces without knowing the final picture- it groups pieces based on shape and color.

Example: Spotify discovering music genres based on patterns within sound, even without explicit labels.