Model Identification And Machine Learning [I.C.] – Politecnico di Milano

Argomenti del programma: Introduction to Machine Learning Motivations of machine learning. Machine learning, artificial intelligence and big data. Applications of machine learning. Representation of input data. Machine learning process. Exploratory data analysis Data validation and cleansing, outlier and missing values detection. Data transformation. Data reduction. Sampling. Feature selection. Features extraction by filtering.