CS-723 / 3 credits

Teacher(s): Falsafi Babak, Kermarrec Anne-Marie, Jaggi Martin

Language: English

Remark: Next time : To be confirmed, not offered this year


Frequency

Every year

Summary

This course will cover the latest technologies, platforms and research contributions in the area of machine learning systems. The students will read, review and present papers from recent venues across the systems for ML spectrum.

Content

Keywords

Machine Learning; Systems

Learning Prerequisites

Required courses

Graduate level course in architecture, databases, systems

Recommended courses

Graduate level course in architecture, databases, systems

In the programs

  • Exam form: Oral presentation (session free)
  • Subject examined: Topics in Machine Learning Systems
  • Lecture: 28 Hour(s)
  • Practical work: 28 Hour(s)

Reference week