CT-AI · Question #92
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…
The correct answer is B. Supervised learning classification system that is re-trained based on new data, including whether. A supervised learning classification system is most likely to succeed in this scenario because it involves using labeled data (the pictures of faces with corresponding ages) to train a model. The system can then classify whether a person is under or over 18 years old. The…
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.
How the community answered
(35 responses)- A9% (3)
- B71% (25)
- C17% (6)
- D3% (1)
Explanation
A supervised learning classification system is most likely to succeed in this scenario because it involves using labeled data (the pictures of faces with corresponding ages) to train a model. The system can then classify whether a person is under or over 18 years old. The approach of re- training based on new data (including whether they later provided ID showing their age) ensures continuous improvement of the model. This method directly aligns with the goal of age
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