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
Here fundamentals of Deep learning will be presented such as Neural Network architectures and optimization algorithms.- Enseignant: Jenny Benois Pineau
- Enseignant: Akka Zemmari