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CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: 16498
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 42
DESCRIPTION
In the subject we introduce advanced concepts in machine learning. In the first part, we concentrate of nonlinear classification and regression methods. While in the second part, we will focus on advanced topics of non-supervised learning. In the last part of the course, we will cover transfer learning and multitask learning.
PART 1: Nonlinear classification and regression Kernel methods Ensemble methods (boosting y random forests) Gaussian Processes for classification and regression
PART 2: Unsupervised Learning Introduction to graphical models Latent variable models Bayesian nonparametrics
PART 3: Multi-task learning Transfer learning
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