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Machine Learning II
Engineering & Social Sciences Program
Madrid, Spain
Dates: 8/28/22 - 12/23/22
Machine Learning II
OVERVIEW
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
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