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18. Artificial Intelligence (AI)
A section of Computer Science, 9618
Listing 10 of 10 questions
Draw one line from each machine learning category to its most appropriate description. Machine learning category Description Supervised learning Reinforcement learning Deep learning Unsupervised learning simulates the data-processing capabilities of the human brain to make decisions enables learning by mapping an input to an output based on example input– output pairs enables information related to errors produced by the neural network to be transmitted enables learning in an interactive environment by trial and error using its own experiences enables learning by allowing the process to discover patterns on its own that were previously undetected Describe the purpose of both the A* algorithm and Dijkstra’s algorithm.
9618_s23_qp_31
THEORY
2023
Paper 3, Variant 1
View
Draw one line from each machine learning category to its most appropriate description. Machine learning category Description Supervised learning Reinforcement learning Deep learning Unsupervised learning simulates the data-processing capabilities of the human brain to make decisions enables learning by mapping an input to an output based on example input– output pairs enables information related to errors produced by the neural network to be transmitted enables learning in an interactive environment by trial and error using its own experiences enables learning by allowing the process to discover patterns on its own that were previously undetected Describe the purpose of both the A* algorithm and Dijkstra’s algorithm.
9618_s23_qp_33
THEORY
2023
Paper 3, Variant 3
View
Questions Discovered
10