With this course students will get the first approach to the vast domain of artificial intelligence which drastically changes practices in all sciences and penetrates into all areas of the life
The integrated lectures are split into presentational
interactive course, practical work with Soft Ware tools implementing AI
approaches and projects in relation with the major of students The content comprises three parts i)Introduction to Artificial Intelligence, its
challenges, AI revolution, accomplishments. ii) Machine Learning as the core of Data-driven AI. Here general principles of machine learning will be
presented both from un-supervised and supervised learning prospective. The case
studies will include different application areas. iii) Deep Learning
- Enseignant: Benois Pineau Jenny
- Enseignant: Zemmari Akka