Practice Algorithm Selection And Model Design (4.2.2) - Design Methodologies for AI Applications

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10 questions

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5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is supervised learning?
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Think about how it learns from examples.
Question 2.
Give an example of unsupervised learning.
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What method finds patterns in unlabelled data?
3Question 3.
What defines supervised learning?
- Uses labeled data
- Uses unlabeled data
- Does not learn patterns
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Consider what type of data the model is learning from.
4Question 4.
True or False: Transfer learning can save time when training models.
- True
- False
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Think about how reusing models can speed things up.
Question 5.
Design a comprehensive strategy using ensemble methods for a classification problem in predicting customer churn.
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Think about mixing the strengths of different model types.
Question 6.
Create a scenario where transfer learning could significantly improve a model's performance, detailing your reasoning.
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Consider reusing already learned features to save time and effort.

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