News
Final Grades Re-Exam Entered into LSFWritten on 17.04.24 (last change on 17.04.24) by Jilles Vreeken Dear all, We carefully went through all comments from the inspection of the re-exam and updated the points accordingly in CMS. These are now final and not up for discussion. Please remember that we can only grade what you wrote in the exam, and are unable to give points for additional… Read more Dear all, We carefully went through all comments from the inspection of the re-exam and updated the points accordingly in CMS. These are now final and not up for discussion. Please remember that we can only grade what you wrote in the exam, and are unable to give points for additional explanations given during the exam inspections. We uploaded the final grades into LSF, and will soon issue exam certificates ('Schein') to those students who could not register on LSF. Best regards, |
Course Information
| Summary | In this course we will discuss the foundations – the elements – of machine learning. In particular, we will focus on the ability of, given a data set, to choose an appropriate method for analyzing it, to select the appropriate parameters for the model generated by that method, and to assess the quality of the resulting model. Both theoretical and practical aspects will be covered. |
| Prerequisites |
The course is targeted at students in computer science, data science and AI, cybersecurity, bioinformatics, math, and general sciences with a mathematical background. Students should know the basics of programming, proof techniques, linear algebra, and statistics, for example by having taken Programming I and II (for programming), Mathematics for Computer Scientists I and II (for linear algebra), and then either Statistics Lab or Mathematics for Computer Scientists III (for statistics). We provide a self-test (questions, data) that you can use to evaluate whether you have the required background to attempt EML. |
| Type | Basic Lecture (6 ECTS) for BSc DSAI, CySec, and Computer Science; Advanced Lecture (6 ECTS) for all others. |
| Lecturers | Prof. Dr. Jilles Vreeken and Dr. Krikamol Muandet |
| Assistants | Joscha Cueppers, Osman Ali Mian, Sarah Mameche, Anurag Singh, Nils Walter, Sascha Xu |
| Tutors | Ali Ahmed, Jawad Al Rahwanji, Filippo Garosi, Josephine Joseph, Omer Moussa, Ahmed Osman, Muhammed Saeed, and Christina Subedi |
| Lectures | Thursdays, 16–18 o'clock in person in E.2.2 Lecture Hall 0.01 (Günter Hotz Hörsaal) and online via Zoom and YouTube |
| Assignments | 6 assignment sheets, one every two weeks, including theory, practical and bonus questions. |
| Tutorials | Mondays 12–14 and Tuesdays 16–18 |
| Office Hours | Prof. Dr. Jilles Vreeken and Dr. Krikamol Muandet: after each lecture Teaching Assistants: by appointment |
| Language | English |
| Contact | General questions via the Forum, for individual cases you can write to eml-tas (at) cispa.de When in doubt, check the Questions and Answers page. |