Explores cost modelling of materials, focusing on technical approaches, automotive case studies, and sustainability, emphasizing the importance of data quality and the impact of weight and emissions on OEMs.
Covers a review of machine learning concepts, including supervised learning, classification vs regression, linear models, kernel functions, support vector machines, dimensionality reduction, deep generative models, and cross-validation.