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4 cards from this section. Quick, good the night before a test.
What is the main reason AI relies on data?
Think of data as the 'fuel' for AI.
What are the two main types of data?
One is about categories and the other about numbers.
Why is data crucial for AI systems?
Consider what fuels the learning process in AI.
True or False: All data is equally beneficial for AI training.
Think about the effects of incorrect information.
Design a simple AI model to predict student performance based on historical test scores. What statistical methods would you use to analyze and clean the data to ensure accurate predictions?
Consider both the input data and methods to analyze them.
Discuss how bias in training data can affect the predictions made by an AI model. Provide a real-world example to support your argument.
Think of the implications of skewed data on model outcomes.
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