What are the differences between machine learning and heuristic techniques?

What are the differences between machine learning and heuristic techniques?

Machine learning involves algorithms that learn from data to make predictions, while heuristic techniques use rules of thumb to solve problems.

Can you give me an example of each?

Sure! An example of machine learning is a recommendation system like Netflix, while a heuristic technique could be a simple search algorithm.

Which one is better for problem-solving?

It depends on the problem. Machine learning is great for complex, data-driven tasks, while heuristics are useful for simpler, well-defined problems.

Are there situations where they can be combined?

Yes, combining both can be effective. For instance, heuristics can guide machine learning models to focus on relevant features.