Greedy algorithms are a problem-solving approach that makes a series of choices, each of which looks the best at the moment, aiming for a locally optimal solution with the hope that it leads to a globally optimal solution. They are efficient and easy to implement, but they don't always yield the best solution for every problem, particularly when the problem lacks the greedy-choice property or optimal substructure.