Assigment#4_Kayla_Adzani_2681495184

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?

 

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JAWABAN:Disini

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