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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is an algorithm in the context of AI modelling?
💡 Hint: Think about how instructions are given to a model.
Question 2
Easy
What do we mean by model training?
💡 Hint: Consider what happens in a classroom environment.
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 main purpose of the modelling stage?
- To deploy the system
- To train the AI model
- To gather data
💡 Hint: Think about what happens behind the scenes before deployment.
Question 2
True or False: A regression model is used for classifying data.
- True
- False
💡 Hint: Remember the difference between predicting values and categorizing.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are developing a model for predicting house prices. Discuss the considerations you must make when selecting an algorithm.
💡 Hint: Think about what makes house pricing complex!
Question 2
A model you've trained is performing well on training data but poorly on testing data. Discuss what could have gone wrong and how you might adjust your approach.
💡 Hint: Consider how too much focus on detail can hinder broader understanding.
Challenge and get performance evaluation