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AI/Machine Learning
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The main difference between Perceptron and MLP:
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Which of the following statements about supervised learning are FALSE?
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Which of the following are examples of inputs (features) in a house price regression model?
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Linear regression can model complex, nonlinear relationships without modification.
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Match each data quality dimension to its description.
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Because AI systems are mathematical algorithms that process data according to explicit rules and objective functions, they are inherently free from human biases and provide perfectly fair, objective decisions across all demographic groups.
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AI systems are complete black boxes that operate through incomprehensible magic, with no possibility of understanding their inner workings. The mathematical operations are so complex that even researchers cannot test, visualize, or audit these systems in any meaningful way.
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