News

Registration for Exam Inspection

Written on 01.03.24 by Joscha C├╝ppers

Dear all, 

We have opened up a registration for the exam inspection. If you want to inspect your exam, please register until Tuesday, March 5th at 11:59 PM. 

To minimize wait time we will assign you a timeslot between 9 AM and 2 PM. 

If you can't attend this inspection you will have the… Read more

Dear all, 

We have opened up a registration for the exam inspection. If you want to inspect your exam, please register until Tuesday, March 5th at 11:59 PM. 

To minimize wait time we will assign you a timeslot between 9 AM and 2 PM. 

If you can't attend this inspection you will have the chance to inspect the first exam at the inspection of the re-exam. 

Best, 
The EML-Team

Grades for Main Exam Posted

Written on 29.02.24 by Jilles Vreeken

Dear all,

We just posted the grades and the sample solution for the main exam on CMS. 

Those who took the exam will find your grade on your status page. The threshold for a passing grade was 25 out of 50 points. The grading scale goes in steps of 2 points, i.e. 25 points is a 4.0, 27 points for… Read more

Dear all,

We just posted the grades and the sample solution for the main exam on CMS. 

Those who took the exam will find your grade on your status page. The threshold for a passing grade was 25 out of 50 points. The grading scale goes in steps of 2 points, i.e. 25 points is a 4.0, 27 points for a 3.7, and so on. 

We will organise an in-person exam inspection on Thursday, March 7th. We will explain the details, including how to register, etc. in a separate announcement.

Best regards,
Jilles Vreeken and Krikamol Muandet
 

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.
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