Machine learning-based systems use algorithms to analyze data and learn from it, allowing them to make predictions or decisions without being explicitly programmed. This technology is widely applied in various fields, such as healthcare, finance, and marketing, where it helps improve efficiency and accuracy. These systems rely on large datasets to identify patterns and trends, which they use to enhance their performance over time. For example, recommendation systems on platforms like Netflix and Amazon utilize machine learning to suggest content or products based on user preferences and behaviors.