Non-Linear Machine Learning Optimization refers to advanced techniques used to enhance model performance by navigating complex, non-linear landscapes in data. This approach leverages algorithms that adaptively adjust parameters, improving accuracy and efficiency in predictive tasks, making it essential for tackling real-world problems in diverse applications.