This curricular unit aims to provide students with an overview of advanced techniques of computational and analytical (data) learning.
Upon completion of this course, students should understand and apply the main models of computational learning for pattern recognition.
Aurélien Géron, Hands-On Machine Learning with Scikit-Learn and TensorFlow, O'Reilly Media, 2017
Evaluation is made on individual basis and it involves the coexistence of two modes: continuous assessment (60%) and final evaluation (40%). Further information is detailed in the Learning Agreement of the course unit.