Methoden des Maschinellen Lernens

Video Lectures on Probabilistic Machine Learning

If you are looking for the slides and videos of the 2020 course on Probabilistic Machine Learning, click on this box.

Teaching in the Summer Term 2024

Vorlesung Theorie der Informatik II (INF2410, 9 ECTS / 6 SWS)
formale Sprachen und Automaten; Berechenbarkeit; Komplexität
Prof. Dr. Philipp Hennig
Vorlesungen immer Dienstags 12ct-14 und Donnerstags 10ct-12, Hörsaal N7 im HSZ auf der Morgenstelle.
Administrative Informationen und Klausuranmeldung auf Alma, Inhalte im Kurssystem. Der Kurs wird über Ilias verwaltet, alle teilnehmenden Studierenden sollten dort beitreten.

Seminar Deep Learning Research Kitchen (ML4501, 3 ECTS / 2 SWS)
Dr. Antonio Orvieto, Dr. Jonas Geiping, Dr. Frank Schneider & Prof. Dr. Phlipp Hennig
Thursdays 14ct-16, in A301 on the Sand

Deep Learning is increasingly an engineering discipline. Science and math inform the models and concepts, but getting models to train and perform in practice takes practical experience and "secret recipes". This seminar is an opportunity to get hands-on experience with all these practical, technical aspects of deep learning. This seminar is about all this. Model tweaks, algorithm tuning, hardware, scheduling, etc. 

After two introductory lectures by the organizers in the first weeks, students will prepare and present their own hands-on experience with deep learning engineering. 

Due to high expected demand, the seminar is unfortunately restricted to students of the Machine Learning MSc. However, everyone is welcome to attend the sessions of the seminar without credit.

Limited places available, specifically for ML MSc students. Registration is exclusively via Ilias and opens on 29. March 2024, 12noon. If you were unable to get a place, please still join the waiting list, and attend the opening session on Thursday, 18 April, 14-16, where the seminar will be introduced, topics announced and distributed. 

Teaching in the Winter Term 2023/24

Lecture Course Data Literacy (ML4201, 6 ECTS / 4 SWS)
Prof. Dr. Philipp Hennig
Lectures are Tuesdays 10ct-12 (HS037 in Brechtbau / Neuphilologicum, Wilhelmstr. 50).
All lectures and tutorials take place in presence, and are held in English. Further information can be found in the course description, and on Alma
Registration, and all further communication via moodle.

Teaching in the Summer Term 2023

Lecture Course Probabilistic Machine Learning (ML4202, 9 ECTS / 6 SWS)
Prof. Dr. Philipp Hennig
Lectures Mondays 10ct-12 (HS22 Kupferbau) and Thursdays, 8ct-10 (HS21 Kupferbau).
All lectures and tutorials take place in presence, and are held in English. Further information can be found in the course description, and on Alma. 
Registration, and all further communication via ILIAS. 

Seminar Rethinking the World's Problems with AI (ML 4501, 3 ECTS / 2 SWS)
Prof. Dr. Philipp Hennig & Prof. Dr. Matthias Bethge
Further information will be posted soon. You can sign up for updates by joining this group on Ilias.

Teaching in the Winter Term 2022/23

Lecture Course Numerics of Machine Learning (ML4301)
Prof. Dr. Philipp Hennig, Jonathan Wenger, Marvin Pförtner, Nathanael Bosch, Jonathan Schmidt, Agustinus Kristiadi, Lukas Tatzel, Dr. Frank Schneider, Julia Grosse
Lectures Thursdays, 14ct-16, Tutorials on Fridays, 12ct-14, both in the lecture hall of the AI Research Building (Maria von Linden Str. 6).
All lectures and tutorials take place in presence, and are held in English. Further information can be found in the course description on Alma. 
Registration, and all further communication via ILIAS (sign up directly using this link).

Teaching in the Summer Term 2022

Vorlesung Theorie der Informatik 2 – Formale Sprachen, Berechenbarkeit, Komplexität 
(INF2410, vormals bekannt als Informatik III – Theorie der Informatik) – Prof. Dr. Philipp Hennig

Die Veranstaltung findet auf Deutsch statt. Vorlesungen Dienstags 12ct-14 und Donnerstags 10ct-12, jeweils in N7 (Hörsaalzentrum Morgenstelle). Die Veranstaltung findet komplett in Präsenz statt. Bitte melden Sie sich direkt auf Ilias an, alle Materialien und Kommunikationen werden über Ilias verteilt und verwaltet.

Teaching in the Winter Term 2021/22

Lecture Data Literacy (ML4102) — Prof. Dr. Philipp Hennig & Prof. Dr. Jakob Macke
Lectures on Mondays, 10-12, in presence, in N1 on the Morgenstelle.
Tutorials on Thu 12-14 (F119, Sand), Thu 14-16 and Fri 12-14 (both in MvL6 / AI Research Building).
Please sign up on Ilias. 

BSc Team Project: Automatisches Wettsystem Bundesliga (3 Gruppen)

Teaching in the Summer Term 2021

Lecture Probabilistic Machine Learning (ML 4202) — Prof. Dr. Philipp Hennig
Location and Format tbd. Lectures from last year are on youtube, but the content will be updated in a few places. 
Tutorials on Thursday or Friday (several slots). Please sign up on Ilias.

Seminar Fairness in Machine Learning (ML 4501) — Dr. Samira Samadi, Dr. Thomas Grote, Prof. Dr. Philipp Hennig
Fridays, 10ct-12. format tbd. (subject to change, as everything) More on Ilias

Seminar Machine Learning for and with Dynamical Systems (ML 4501) — Nathanael Bosch, Nicholas Krämer, Prof. Dr. Philipp Hennig
Fridays, 14ct-16. format tbd., Maria v. Linden-Str. 6. (subject to change, as everything). The first meeting will be held on the 23rd of April. Please register on Ilias by the 15th of April and let us know about your preference on topics via email. More information, including a list of topics, on Ilias.

BSc Team Project:  Automatisches Wett-System Bundesliga (2 Gruppen)

Teaching in the Winter Term 2020/21

All locations and formats are preliminary and subject to change as the pandemic evolves.

Lecture Data Literacy (ML 4102) — Prof. Dr. Philipp Hennig
Lectures on Tuesdays, 12noon ct - 14 on zoom. Tutorials on Thursday (several slots). More details on Ilias.

Lecture Time Series (ML 4320) — Dr. Filip Tronarp
Lectures on Fridays, 12noon ct - 14 in Maria v. Linden-Str. 6, main lecture hall. More details on Ilias.
Tutorials right after the lecture, Fridays, 14–16, same location

BSc Team Project: 
Automatisches Wett-System Bundesliga (3 Gruppen)

 

Lehre im Sommersemester 2020

Vorlesung Probabilistic ML (ML 4202) 
Montags 10ct-12, Hörsaal 8 Neue Aula und Dienstags 10ct-12, Hörsaal 1 Neue Aula. Termine für Tutorien werden in der ersten Vorlesung festgelegt.

  • weitere Details auf Ilias

Software Projekt: 
Automatisches Wett-System Bundesliga (3 Gruppen)

Lehre im Wintersemester 2019/20

Vorlesung Data Literacy (ML 4102) (mit Prof. Dr. Kay Nieselt)
Immer Dienstags, 10ct-12, MvL6 Hörsaal, Übungen direkt im Anschluss, 12-14, gleicher Raum

Software Projekt: 
Automatisches Wett-System Bundesliga (3 Gruppen)

Lehre im Sommersemester 2019

Vorlesung Numerics of Machine Learning (ML4301) 
Immer Dienstags, 12ct-14, F112 Hörsaal 2

innerhalb dieser Veranstaltung: Special Lecture for Future am 18. Juni 2019. Slides finden Sie hier.

Seminar Technical Aspects of Societal Challenges to Machine Learning
Blockseminar am 27. & 28. 6. 2019. Achtung: Vorbesprechung am 17.04.2019! Sand 14, Raum C118a

Software Projekt: 
Automatisches Wett-System Bundesliga (4 Gruppen)

Lehre im Wintersemester 2018/19

Vorlesung Probabilistic Inference and Learning

Software Projekt: 
Automatisches Wett-System Bundesliga