A) Rule based B) Bayesian Belief Network C) Bayesian classifier D) Random Forest
2. Designing a machine learning approach involves:-
A) Choosing the type of training experience B) Choosing the target function to be learned C) Choosing a representation for the target function D) All of the above
3. Real-Time decisions, Game AI, Learning Tasks, Skill Acquisition, and Robot Navigation are applications of which of the following
A) Supervised Learning: Classification B) Reinforcement Learning C) Unsupervised Learning: Clustering D) Unsupervised Learning: Regression
4. Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally
A) TRUE B) FALSE C) D)
5. What is perception?
A) A single layer feed-forward neural network with pre-processing B) A neural network that contains feedback C) A double layer auto-associative neural network D) An auto-associative neural network
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