What are some real-world examples of heuristics in machine learning?

What are some real-world examples of heuristics in machine learning?

Heuristics in machine learning are rules of thumb that help simplify decision-making. For example, in image recognition, a heuristic might be to focus on edges and shapes rather than colors.

Can you give me more examples?

Sure! In recommendation systems, a common heuristic is to suggest items based on user similarity, like collaborative filtering.

How do these heuristics improve performance?

Heuristics can significantly reduce computation time and resources by narrowing down the search space, leading to faster and often more efficient models.

Are there any downsides to using heuristics?

Yes, while heuristics can speed up processes, they may also lead to biases or oversimplifications, potentially missing out on optimal solutions.