Machine Learning in Forensics leverages algorithms and statistical models to analyze, interpret, and predict outcomes from forensic data, enhancing the accuracy and efficiency of investigations. It bridges the gap between vast data volumes and actionable insights, enabling forensic experts to uncover patterns and evidence that would be difficult to detect manually.