263-3300-00L  Data Science Lab

SemesterAutumn Semester 2017
LecturersC. Zhang, K. Schawinski
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 30.

In the Master Programme max. 10 credits can be accounted by Labs on top of the Interfocus Courses. Additional Labs will be listed on the Addendum.

AbstractIn this class, we bring together data science applications
provided by ETH researchers outside computer science and
teams of computer science master's students. Two to three
students will form a team working on data science/machine
learning-related research topics provided by scientists in
a diverse range of domains such as astronomy, biology,
social sciences etc.
ObjectiveThe goal of this class if for students to gain experience
of dealing with data science and machine learning applications
"in the wild". Students are expected to go through the full
process starting from data cleaning, modeling, execution,
debugging, error analysis, and quality/performance refinement.

Website: Link
Prerequisites / NoticeEach student is required to send the lecturer their CV
and transcript and the lecturer will decide the enrollment
on a per-student basis. Moreover, the students are expected
to have experience about machine learning and deep learning.

EMAIL to send CV: Link