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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the term 'iteration' mean in the context of an AI project?
💡 Hint: Think about what happens when a model doesn’t perform well.
Question 2
Easy
Name one reason why a team might need to revisit data acquisition.
💡 Hint: Consider what would happen if data were missing or incomplete.
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 the role of iteration in the AI Project Cycle?
💡 Hint: Think about why we would want to improve something over time.
Question 2
True or False: Iteration is only necessary when the model performs well.
💡 Hint: Consider the purpose of evaluation.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Imagine you launched an AI model to analyze customer preferences but found it gave very generic results. Design a step-by-step iterative plan for improving this model.
💡 Hint: Think through what could help the model give more personalized outputs.
Question 2
You have an AI model predicting traffic patterns that is underperforming. What iterative steps would you take to enhance it?
💡 Hint: Consider what additional factors might impact traffic predictions.
Challenge and get performance evaluation