Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to learn from data. A major focus of machine learning is to automatically learn complex patterns and to make intelligent decisions based on them. The set of possible data inputs that feed a learning task can be very large and diverse, which makes modelling and prior assumptions critical problems for the design of relevant algorithms.
This course aims to complement the first Machine Learning course.
- Teaching coordinator: Capitaine Aymeric
- Teaching coordinator: Durmus Alain
- Teaching coordinator: Goudenege Ludovic
- Teaching coordinator: Le Pennec Erwan
- Teaching coordinator: Mangold Paul
- Teaching coordinator: Michel Manon
- Teaching coordinator: Simsekli Umut