COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Decision trees
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Neural networks
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Propositional and FOL rules
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All of the mentioned
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Detailed explanation-1: -3. Which of the following is the model used for learning? Explanation: Decision trees, Neural networks, Propositional rules and FOL rules all are the models of learning.
Detailed explanation-2: -There are two important learning models in reinforcement learning: Markov Decision Process. Q learning.
Detailed explanation-3: -Explanation: The following are various Machine learning methods based on some broad categories: Based on human supervision, Unsupervised Learning, Semi-supervised Learning, and Reinforcement Learning.
Detailed explanation-4: -Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.
Detailed explanation-5: -Bioinformatics. This is among the most widely used Supervised Learning applications, and we all use it regularly.