PHYS-754 / 2 credits

Teacher(s): De Los Rios Paolo, Schwaller Philippe, Ceriotti Michele, Wyart Matthieu, Mathis Alexander, Carleo Giuseppe, Zdeborová Lenka

Language: English

Remark: Next time: Fall


Summary

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.

Content

In the programs

  • Exam form: Oral presentation (session free)
  • Subject examined: Lecture series on scientific machine learning
  • Lecture: 14 Hour(s)
  • Project: 28 Hour(s)
  • Exam form: Oral presentation (session free)
  • Subject examined: Lecture series on scientific machine learning
  • Lecture: 14 Hour(s)
  • Project: 28 Hour(s)
  • Exam form: Oral presentation (session free)
  • Subject examined: Lecture series on scientific machine learning
  • Lecture: 14 Hour(s)
  • Project: 28 Hour(s)
  • Exam form: Oral presentation (session free)
  • Subject examined: Lecture series on scientific machine learning
  • Lecture: 14 Hour(s)
  • Project: 28 Hour(s)

Reference week