Local & Global Optimum

In optimization, a local optimum is the best solution in a small neighborhood (like the tallest hill in your town), while the global optimum is the absolute best solution across the entire problem space (the tallest mountain in the world). Machine learning algorithms can get stuck in local optima, thinking they've found the best answer when there's actually a much better solution elsewhere.