Machine Learning
Undergraduate course · B.S. in Actuarial Science (7th semester), Universidad Iberoamericana Ciudad de México, 2026
Course on the trends and paradigms of machine learning, covering the mathematical foundations and the development of different models for their implementation in data-science projects. Group A1 · Fall 2026 (17 weeks · 34 classes · 68 hours). Prerequisites: multivariable calculus, nonlinear optimization, linear algebra, probability, and structured programming (Python). Feel free to ask for the slides of the lessons.
