What are heuristics in machine learning?
An example of an AI chatbot conversation about heuristics in machine learning.
What are heuristics in machine learning?
Heuristics in machine learning are rules of thumb or strategies used to simplify decision-making and problem-solving.
Can you give me an example of a heuristic used in machine learning?
Sure! One common heuristic is the '80/20 rule' or Pareto principle, where 80% of the effects come from 20% of the causes.
How do heuristics improve model performance?
Heuristics can help in feature selection, reducing complexity, and speeding up the training process, leading to better performance.
Are there any downsides to using heuristics?
Yes, relying too much on heuristics can lead to oversimplification and may overlook important nuances in the data.
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