Practice Modelling (3.2.4) - Introduction to AI Project Cycle - CBSE 10 AI (Artificial Intelleigence)

Practice: Modelling

Lesson 3.2.4Introduction to AI Project Cycle

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10 questions

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Quiz
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6 sample questions

Question 1.
What is the purpose of 'Modelling' in AI?
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Think about how predictions help in decision-making.
Question 2.
What is the difference between training and testing data?
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Consider how each part aids the learning process.
3Question 3.
What is the main goal of the Modelling phase?
- To collect data
- To create predictive models
- To evaluate model performance
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Recall what step comes after data collection.
4Question 4.
True or False: In unsupervised learning, the data used has labels.
- True
- False
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Think about who labels the data in supervised scenarios.
Question 5.
You are tasked with creating a machine learning model to classify emails as 'spam' or 'not spam'. Describe the steps you would take in modelling and the choice of algorithm.
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Consider how different algorithms would work for text data.
Question 6.
You have a dataset of customer purchases without labels. How would you approach building a model to segment customers based on their purchasing habits?
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Think about which features might significantly influence customer behavior.

6 more questions in this section. Enroll free to practise them all.