Programming

Recall the basic concepts and methodology of machine learning (model training, evaluation, hyperparameter tuning, preprocessing). Understand and apply neural network techniques, deep learning, and recurrent networks. Understand convolutional networks and their main fields of application. Learn reinforcement learning techniques.

Topic 1. Introduction to machine learning and neural networks Topic 2. Deep learning and Recurrent Networks Topic 3. Convolutional networks Topic 4. Reinforcement learning

Theory: Lectures will be focused on teaching all concepts related to machine learning, deep learning, and reinforcement learning. Practical computer Sessions: The practical classes will be developed so that, in a supervised way, students learn to solve problems with machine learning, deep learning, and reinforcement learning. 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.