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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of modelling in AI?
💡 Hint: Think about how a student learns.
Question 2
Easy
What type of learning uses labeled data?
💡 Hint: Consider which learning styles use examples.
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 goal of the modelling phase in AI?
- To acquire data
- To evaluate model performance
- To train the AI algorithm
💡 Hint: Consider how teaching fits into the AI lifecycle.
Question 2
True or False: Unsupervised learning uses labeled data.
- True
- False
💡 Hint: Think about whether the model knows the answers beforehand.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a K-fold cross-validation setup for a dataset of financial transactions to predict fraudulent activities. Explain each step.
💡 Hint: Focus on ensuring that every subset is utilized in both training and testing phases.
Question 2
You are tasked with selecting an algorithm for a text classification task. Discuss the factors you would consider in your decision-making process.
💡 Hint: Consider the trade-offs between a model's flexibility and its complexity.
Challenge and get performance evaluation