Autonomous Mode
- Runs by itself using sensors and code decisions.
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Underfitting
- The model is too simple to spot real patterns in the data.
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Manual Mode
- Uses joysticks or apps for direct movement.
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Supervised Learning
- The computer sees both the question and the right answer while training.
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Validation Set
- Used during training to see if learning stays balanced and not overfit.
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Sensor Fusion
- Mixing data from sensors gives more accurate results.
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Unsupervised Learning
- The computer groups similar data by itself when no labels exist.
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- joinus@mycodingclasses.com