General Information
Objective: Study of the main mathematical tools for machine and deep learning methods.
Syllabus: Linear Algebra, Vector Calculus, Probability and Distributions, Optimization, Implementation of Classical ML models.
Duration/credits: 60 hours/4 credits (16 weeks).
Time: Thursdays (15:50 - 19:30).
Grade: Assignments (60%) and Test (40%).
Lecturers: André Eugenio Lazzaretti.
Bibliography and Supporting Materials
Book:
Deisenroth, M. P.; Faisal, A. A. & Ong, C. S. (2020), Mathematics for Machine Learning, Cambridge University Press.
Solution guide (link).