Machine Learning For Chemical Engineering – Politecnico di Milano

Argomenti del programma: The course covers the following topics: Mathematical foundations of machine learning : introduction to data science and machine learning, linear algebra, optimization, and the mathematical principles underlying machine learning algorithms. Dimensionality reduction and data preprocessing : singular value decomposition (SVD), principal component analysis (PCA), feature engineering, regularization, and outlier…