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CT-AI · Question #92
CT-AI Question #92: Real Exam Question with Answer & Explanation
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Question
You have been asked for your opinion on the ML approach to be used for a new age verification system. A training dataset is available with many pictures of faces and the subject's age. When new users sign-up to a mobile app, they have to take a picture of their face. If the system believes they are under 18 years old it will ask them to provide a picture of their passport to prove their age. Which ONE of the following approaches do you expect to be MOST likely to succeed?
Options
- AUnsupervised learning that identifies clusters in training data that relate to people's ages.
- BSupervised learning classification system that is re-trained based on new data, including whether
- CSupervised learning regression system that is re-trained based on new data, including whether
- DReinforcement learning classification system with a reward function of correct behavior.
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