Computational mathematics plays a crucial role in AI, providing the foundation for data representation, computation, automation, efficiency, and accuracy.
Computational mathematics is used in machine learning algorithms to optimize the performance of AI models by minimizing computational complexity and maximizing accuracy. For instance, numerical optimization techniques are used to find the optimal parameters for a neural network model, leading to faster training times and improved predictions.