Practice - Principles of AI Application Design Methodologies
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Practice Questions
Test your understanding with targeted questions
What is supervised learning?
💡 Hint: Think about datasets that tell the model what the output should be.
Why is data cleaning important?
💡 Hint: Dirty data can lead to poor model performance.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
Which term refers to the limitation of learning too well from training data?
💡 Hint: Think about how well the model performs on unseen data.
True or False: Unsupervised learning requires labeled data.
💡 Hint: Recall what 'unsupervised' means.
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Challenge Problems
Push your limits with advanced challenges
Design an AI application for predicting housing prices. Outline the steps you would take from problem definition to model evaluation.
💡 Hint: Consider real estate data and the factors that influence housing prices.
You need to develop a real-time image classification system for a drone. Discuss algorithm selection, data handling, and model training considerations.
💡 Hint: Think about how drones operate and the need for quick decision-making.
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Reference links
Supplementary resources to enhance your learning experience.