Can you explain if Depth First Search (DFS) can be used in machine learning?
Yes, DFS can be used in machine learning, particularly in search algorithms and decision trees.
How does DFS compare to other search algorithms like BFS?
DFS explores as far as possible along a branch before backtracking, while BFS explores all neighbors at the present depth.
In what scenarios would you prefer using DFS over BFS?
DFS is preferred in scenarios where memory is limited or when the solution is deep in the search space.
Can you give an example of DFS in a machine learning context?
Sure! DFS can be used in constructing decision trees, where it helps in exploring potential splits.
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