assignment#4_BD107_Chika_Febriyani_2681494486

PERTANYAAN

  1. What is the key difference between supervised and unsupervised learning? Provide an example for each.
  2. What is “overfitting” in a machine learning model, and why is it a problem?
  3. Describe the three main components of reinforcement learning: agent, environment, and reward?
  4. How does a training dataset differ from a testing dataset, and why is this separation important?

STATUS: 100%
KETERANGAN: Saya sudah mengerjakan dengan baik dan benar
JAWABAN: disini

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