Linear algebra is fundamental in data processing and computational operations for models.Statistics and probability are used to analyze data and make probabilistic decisions, especially in supervised and unsupervised learning models.Calculus is applied in optimization and model training to minimize loss functions and improve prediction accuracy.Optimization problems are essential for tuning model parameters and enhancing prediction performance.