Module Question 3
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 tugas dengan baik dan benar
bukti :
https://docs.google.com/document/d/1mxGVyWwP-tu398qmWm9RMBJ1B3aP_pJoFTz8sey31J8/edit?usp=sharing