Imperial College London

STEFANOS ZAFEIRIOU, PhD

Faculty of EngineeringDepartment of Computing

Reader in Machine Learning and Computer Vision
 
 
 
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Contact

 

+44 (0)20 7594 8461s.zafeiriou Website CV

 
 
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Location

 

375Huxley BuildingSouth Kensington Campus

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Summary

 

Mathematics for Machine Learning - CO496

Aims

The aim of the course is to provide the students the necessary mathematical background and skills in order to understand, design and implement modern statistical machine learning methodologies, as well as inference mechanisms. The course will provide examples regarding the use of mathematical tools for the design of basic machine learning and inference methodologies, such as Principal Component Analysis (PCA), Bayesian Linear Regression and Support Vector Machines. 

Role

Course Leader

Advanced Statistical Machine Learning and Pattern Recognition  - CO495

Aims

The aim of the course is to provide the students the necessary theoretical and computational skills to understand, design and implement modern statistical machine learning methodologies regarding statistical component analysis, statistical linear dynamical systems (i.e., HMMs and Kalman filters) and other statistical models such as Markov Random Fields (MRFs).

 

Role

Course Leader