Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Graph
Search

Course

CS-726: Machine Learning for Database Systems

Summary

This course covers the emerging interdisciplinary field targeting the intersection of Machine Learning and Database Systems. The students will read, review and present papers from recent venues across Database Systems and Machine Learning fields.

Lectures

Instructors (2)

Anastasia Ailamaki

Christoph Koch

Official source

https://edu.epfl.ch/coursebook/en/machine-learning-for-database-systems-CS-726

Moodle Page

http://go.epfl.ch/CS-726

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Summary

Lectures

Instructors (2)

Anastasia Ailamaki

Christoph Koch

Official source

https://edu.epfl.ch/coursebook/en/machine-learning-for-database-systems-CS-726

Moodle Page

http://go.epfl.ch/CS-726

About this result

Related courses (31)

CS-423: Distributed information systems

This course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems. ...

CS-401: Applied data analysis

This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) ...

COM-490: Large-scale data science for real-world data

This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...

DH-405: Foundations of digital humanities

This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their proc ...

PHYS-467: Machine learning for physicists

Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. ...