7.4 - Components of AI Modelling
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Practice Questions
Test your understanding with targeted questions
What are the two main components of data used in AI models?
💡 Hint: Think about what allows the model to learn and what it tries to predict.
What is the purpose of an algorithm in AI modelling?
💡 Hint: Remember what you use to teach the model.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What are the two primary components of data in AI modelling?
💡 Hint: Recall the basics of what data consists of.
Linear Regression is an example of which AI modelling component?
💡 Hint: Think about which part gives direction to the model.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Suppose you have a dataset with missing values; propose strategies you could employ to clean the dataset before using it to train a model.
💡 Hint: Consider what techniques can fill in blanks or eliminate gaps to improve data quality.
Design an experiment where you compare the performance of two algorithms (e.g., Decision Trees vs. KNN) on the same dataset. What metrics would you use to evaluate their performance?
💡 Hint: Think about how you measure success in any experiment or competition.
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