News
The Last PostWritten on 03.05.24 by Jilles Vreeken Dear all, The summer term started a few weeks ago, so EML is quickly becoming a fleeting memory. Before we forget all about it, I’d like to share a few statistics and thoughts. Overall, more than 466 students registered on CMS, 287 handed in at least one assignment, and 260 at least two. Each of… Read more Dear all, The summer term started a few weeks ago, so EML is quickly becoming a fleeting memory. Before we forget all about it, I’d like to share a few statistics and thoughts. Overall, more than 466 students registered on CMS, 287 handed in at least one assignment, and 260 at least two. Each of these is significantly higher than in previous years. Out of those 260 students, 239 (92%) qualified to take the exam. That’s the highest percentage we’ve ever had, and we’re quite proud of this. It not only shows that you did your best but also that our tutors did a great job. From your feedback, we also heard that you appreciated the exercise sheets a lot too. Out of those 239 qualified students, 192 (80%) took at least one of the two exams. I’m honestly a bit puzzled why those other 20% decided not to take the exam, especially because… Out of the 192 students who did take at least one exam, a whopping 154 (80%) passed! This makes us very happy, because while the exam was challenging it was fair, and so was the passing threshold (25 out of points). The average grade was a 3.3, and the average passing grade was a 2.9. Overall the study subjects, the DSAI students had the highest passing rate (92%) but the best average passing grade was for the Computer Science students (2.7). Go CS! More interestingly, some feedback hinted at EML being hard for Bachelor students. Let’s look at the numbers… Krikamol and I hope you had as much fun taking the course as we did lecturing it. EML is a lot of work though – for you, but also us. We could not have done it without our excellent head TAs, TAs, and Tutors. This is the right moment to express our deep gratitude to Osman, Joscha, many thanks Sarah, Sascha, Nils, Anuragh, and many thanks Jawad, Christina, Omer, Muhammad, Ali, Josephine, Ahmed, and Filippo! But, we could also not have done it without you, so, also a heartfelt thank you to all of you! We wish you all the best with your studies, and until we meet again. Best regards,
|
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. |