Description
The goal of this course is to study some advanced and current topics in machine learning. Different sources will be used, mainly advanced textbooks and research papers. The students read the material and work in the exercises.
This course corresponds to "Temas Avanzados en Sistemas Inteligentes I" 2019809
Room and Time
406-104 Wednesday 9:00am-1:00pm
Schedule
Bibliography
[Barber2013] Barber, David, Bayesian Reasoning and Machine Learning, Cambridge University Press, 2013.
[Bishop2006] Bishop, C. Pattern Recognition and Machine Learning, Springer-Verlag, 2006.
[Hastie2009] Hastie, T. , Tibshirani, R. and Friedman. 2009, The elements of statistical learning: data mining, inference, and prediction, 2nd Ed, Springer-Verlag, 2009.
[Murphy2013] Murphy, Kevin P, Machine learning: a probabilistic perspective, The MIT Press, 2012.