ML 2024 (MS)#

Course assessment#

Activity

Final scores

Attendance and participation

\(5\%\)

Practice/Quiz

\(20\%\)

Homework/SIS

\(20\%\)

Mid-term

\(15\%\)

Final project

\(40\%\)

Quizzes are held during classes, usually devoted to the topic of the previous lecture.

Homeworks assessments (SIS) consists of assignments in Jupyter Notebooks.

Mid-term: Kaggle competition.

Final project: application of machine learning to a real-world problem.

Create a group project that solves a real-world problem based on machine learning algorithms. Recommended team size is 3-4 students. Other guides see on DL course page.

Invite to MS Teams: kvsly2h