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5 cards from this section. Quick, good the night before a test.
What is an algorithm in the context of AI modelling?
Think about how instructions are given to a model.
What do we mean by model training?
Consider what happens in a classroom environment.
What is the main purpose of the modelling stage?
Think about what happens behind the scenes before deployment.
True or False: A regression model is used for classifying data.
Remember the difference between predicting values and categorizing.
You are developing a model for predicting house prices. Discuss the considerations you must make when selecting an algorithm.
Think about what makes house pricing complex!
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.
Consider how too much focus on detail can hinder broader understanding.
6 more questions in this section. Enroll free to practise them all.
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