Theory: Lectures will be focused on teaching all concepts related to machine learning. They will be carried out live (in-class).
Practical computer Sessions (LIVE (in-class) sessions with student's own laptops): The practical classes will be developed so that, in a supervised way, students learn to solve practical cases. The practices will be carried out in groups of 2 students. There are several assignments related to topics in the course.
There will be tutorials to help the understanding both of theory and practice.
TRAINING ACTIVITIES OF THE STUDY PLAN REFERRED TO MATTERS
AF1 Theoretical class
AF2 Practical classes
AF4 Laboratory practices
AF6 Group work
AF7 Individual student work
AF8 Face-to-face evaluation tests
TEACHING TRAINING METHODOLOGIES OF THE PLAN REFERRED TO MATTERS
MD1 Lectures with material and bibliography provided.
MD3 Resolution of practical cases, problems, etc.
MD5 Preparation reports individually or in groups