Course Description

This course aims at presenting fundamental principles of Machine Learning. We will first introduce the different types of learning a student may be confronted with in industry : supervised, semi-supervised, and unsupervised learning. We then give some basis about numerical optimization. An important part of the course is devoted to good practices in machine learning, including : analysis, preprocessing and visualization of data, evaluation with a special emphazis on the choice of the metric. The applicative part will include analysis of large corpora.