What are some applications of heuristics in machine learning?
Heuristics are often used in machine learning for optimization problems, like feature selection and hyperparameter tuning.
Can you give me an example of a heuristic used in ML?
Sure! The greedy algorithm is a common heuristic used in decision trees to select the best feature at each split.
How do heuristics improve the efficiency of ML algorithms?
Heuristics can significantly reduce the search space and computational time, making algorithms faster and more efficient.
Are there any drawbacks to using heuristics?
Yes, while heuristics can speed up processes, they may lead to suboptimal solutions and can be biased based on the chosen method.
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