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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main reason AI relies on data?
💡 Hint: Think of data as the 'fuel' for AI.
Question 2
Easy
What are the two main types of data?
💡 Hint: One is about categories and the other about numbers.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Why is data crucial for AI systems?
💡 Hint: Consider what fuels the learning process in AI.
Question 2
True or False: All data is equally beneficial for AI training.
💡 Hint: Think about the effects of incorrect information.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
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?
💡 Hint: Consider both the input data and methods to analyze them.
Question 2
Discuss how bias in training data can affect the predictions made by an AI model. Provide a real-world example to support your argument.
💡 Hint: Think of the implications of skewed data on model outcomes.
Challenge and get performance evaluation