Machine Learning and Deep Learning
General information
| Course | Machine Learning and Deep Learning | Credits | 9 |
|---|---|
| Professor | Simone CALDERARA |
Brief content description
The course will cover most of the techniques for pattern and data analysis. The main purpose will be offer a deep knowledge of the most important classification algorithms and model for automatically interpreting heterogeneous data. Learning techniques and methods will be covered as well in conjunction with basic supervised and unsupervised learning theory and methods.
Degree programme
This course is part of
How to apply for a single subject course
Students can enrol in up to 3 subjects for each academic year,
even if they are not enrolled in other study programmes in Italy or abroad.
Single subject enrolment