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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define modelling in AI.
💡 Hint: Think about how humans use models to make decisions.
Question 2
Easy
What are the two types of modelling?
💡 Hint: One looks at past data, the other predicts future outcomes.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is modelling in AI?
💡 Hint: It helps in making predictions.
Question 2
True or False: Descriptive modelling is used for predicting future outcomes.
💡 Hint: What is the primary focus of descriptive modelling?
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Analyze the implications of using biased datasets in developing an AI model. What steps would you take to mitigate this issue?
💡 Hint: Consider ways to improve fairness in predictions.
Question 2
Design a modelling approach for a new AI application intended to predict student performance based on historical data. Discuss your choice of model and data.
💡 Hint: Think about the type of data you would need to ensure accuracy in predictions.
Challenge and get performance evaluation