Fiches de cours

Machine Learning for Database Systems

CS-726

Lecturer(s) :

Ailamaki Anastasia
Koch Christoph

Language:

English

Frequency

Every year

Remarque

Next time: Fall 2019

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.

Content

This course will cover the emerging interdisciplinary field targeting the intersection of Database Systems and Machine Learning. Machine Learning has become a key component for numerous data management systems used to improve database systems performance and/or functionality. Similarly, many data management challenges and solutions have appeared in numerous machine learning systems/algorithms enabling fast and efficient data processing. This course targets the emerging research field arising at the intersection of Database Systems and Machine Learning. The course aims to investigate whether and how each field can help each other to improve the state-of-the-art. The course will cover papers that contribute improving database systems by using machine learning, and papers that contribute building large-scale machine learning systems by using data management techniques. The papers will be from top Database Systems conferences such as SIGMOD, VLDB and ICDE as well as top Machine Learning conferences such as NIPS, ICML, KDD, AAAI and IJCAI, and provide an overview of the state-of-the-art in this emerging field.

Note

The course targets Masters and PhD students who are interested in learning/pursuing research in the Database Systems and Machine Learning fields.

Keywords

Database Systems, Machine Learning

Learning Prerequisites

Recommended courses

Learning Outcomes

By the end of the course, the student must be able to:

In the programs

Reference week

 
      Lecture
      Exercise, TP
      Project, other

legend

  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German