Question

_____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data. 

1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning
4. Enforcement Learning

Topic: Project Cycle 

Type: MCQ ( Multiple Choice Question)

#Boards 2021 question 

Answer 1

Enforcement Learning

Answer 2

 

1. Supervised Learning

Answer 3

(d) Enforcement Learning

Explanation

• Supervised Learning: This is a learning-based approach where the AI model is trained on a labeled dataset. The model learns to map inputs to outputs based on those labels and can adapt as it sees more data.

• Unsupervised Learning: In this approach, the model finds patterns or structures in data that is not labeled. It also qualifies as a learning-based method since the model adapts based on the data’s inherent structure.

• Reinforcement Learning: This is another learning-based approach where the model learns by interacting with an environment and receiving rewards or punishments. Over time, it adapts its behavior to maximize rewards.

• Enforcement Learning: Unlike the above, "Enforcement Learning" is not a recognized method in the AI or machine learning domain. It is likely a distractor in this question. As such, it does not represent a valid learning-based approach where the model adapts based on data or feedback.

Thus, Enforcement Learning is the one that is not a learning-based approach.