ASSIGNMENT#4_BD107_Dhea_Yunita

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 telah mengerjakan tugas ini dengan baik dan benar.

Jawaban : Disini

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