Non-Linear Machine Learning Optimization explores advanced techniques for improving model performance beyond traditional linear approaches. By leveraging non-linear methods, such as neural networks and evolutionary algorithms, it enhances accuracy, adaptability, and efficiency, enabling more effective solutions for complex, real-world data challenges.