Machine learning tools allow computers to become more accurate in predicting outcomes. The computer’s software makes decisions based on experiences rather than programming. The algorithm (basically a series of instructions) collects data on its interactions, and that data is used as feedback for the algorithm, which changes its behavior and responses, improving them over time.
Machine learning tools use algorithmic applications that allow computer systems to learn and improve their responses on their own, with minimal human guidance.
