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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the AI modelling process?
💡 Hint: It's about defining the issue you want to solve.
Question 2
Easy
Why is data collection important?
💡 Hint: Think about how the quality of data affects results.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the first step in the AI modelling process?
- Data Collection
- Model Selection
- Problem Identification
💡 Hint: Think about what you need to know before anything else.
Question 2
Testing is crucial because it helps to:
- True
- False
💡 Hint: Consider why you'd want to validate a model's predictions.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where a model trained to classify emails as spam or not fails to do so after deployment. Discuss possible reasons why this might happen, focusing on any of the modelling steps.
💡 Hint: Reflect on the steps and identify potential flaws.
Question 2
You are given a dataset for predicting car prices. Describe how you would approach each step from problem identification to deployment, ensuring to address specific challenges you might face.
💡 Hint: Detail each step with consideration for challenges.
Challenge and get performance evaluation