Algorithms play a crucial role in machine learning by defining the rules and processes used to analyze data and make predictions. They are essentially mathematical models that enable systems to learn from data inputs and adjust their operations based on patterns detected. Good algorithms improve the accuracy and efficiency of machine learning applications, allowing computers to adapt over time as they receive more data. This adaptability is essential for tasks such as regression analysis, classification, and recommendation systems.