Mathieu Salzmann

EPFL IC IINFCOM CVLAB
BC 309 (Bâtiment BC)
Station 14
1015 Lausanne

Web site:  Web site:  https://cvlab.epfl.ch/

EPFL IC IINFCOM CVLAB
BC 309 (Bâtiment BC)
Station 14
1015 Lausanne

Web site:  Web site:  https://www.datascience.ch

EPFL IC IINFCOM CVLAB
BC 309 (Bâtiment BC)
Station 14
1015 Lausanne

Web site:  Web site:  https://sin.epfl.ch

EPFL IC IINFCOM CVLAB
BC 309 (Bâtiment BC)
Station 14
1015 Lausanne

EPFL IC IINFCOM CVLAB
BC 309 (Bâtiment BC)
Station 14
1015 Lausanne

Web site:  Web site:  https://ssc.epfl.ch

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Administrative data

Fields of expertise

Computer Vision 
Machine Learning 

Publications

Other publications

Teaching & PhD

Teaching

Computer Science

Digital Humanities
Communication Systems

Courses

Introduction to machine learning

Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented.

Machine learning for DH

This course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and implement methods to analyze diverse data types, such as images, music and social network data.