Machine learning improves predictive analytics by utilizing algorithms to analyze historical data and identify patterns or trends that can inform future outcomes. By employing techniques such as regression analysis, classification, and clustering, machine learning models can make data-driven predictions with greater accuracy than traditional statistical methods. As more data is fed into the system, these models continually learn and adapt, refining their predictions over time. This increased accuracy supports better decision-making in diverse fields like finance, healthcare, and marketing.