Machine learning algorithms improve forecasting accuracy by analyzing historical data and identifying patterns that inform future predictions. These algorithms adapt and learn from new data inputs, continually refining their models to enhance performance over time. Techniques such as regression analysis and time series analysis help forecast trends in diverse fields, including finance, weather, and supply chain management. By recognizing complex relationships within large datasets, machine learning aids businesses in making informed decisions, optimizing resources, and anticipating market changes effectively.