Browse Hierarchy MTH7001P: Machine Learning 1

This module aims at providing students with Machine Learning skills which will be primarily based on the Python programming language as it is currently used in industry. Some of the presented methods are regression and classification techniques (linear and logistic regression, least-square); clustering; dimensionality reduction techniques such as PCA, SVD and matrix factorization. More advanced methods will be covered in a follow-up module (Machine Learning 2). The module is self-contained in terms of the necessary mathematical tools (mostly probability). At the end of the module students will be able to formalize a ML task, choose the appropriate method in order to tackle it while being able to assess its performance, and to implement these algorithms in Python.