Home. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . The student association is involved in many organizational issues. 6. Phone: +49 (0)7071 29-70832. University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos of the lecture can all be found on youtube. University of Tübingen Multiple locations . Back; Open Positions; People. The pipeline can either use a first dataset for training the model and a second for validation, or perform a nested k-fold cross-validation on a single dataset. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. about. His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences. Excellent research and teaching are Tübingen’s answer to the challenges of the future in a globalized world. It provides an introduction to core concepts of machine learning from the probabilistic perspective (the lecture titles below give a rough overview of the contents). The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. Research. contact. The international Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Maria von Linden Str. Graduates in this international Master's program will be competent in all basic and many advanced areas of machine learning, understanding and suitably applying this increasingly essential tool for dealing with large datasets, be it in science, industry or alternative domains. Teamprojekt Machine Learning in the Field of Eye Tracking ... firstname.lastname@example.org. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning … To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site, in machine learning as well as the wider field of computer science: top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching for the Master’s Program Machine Learning. The University of Tübingen is one of the most prestigious research universities worldwide. ... University … At the core of this revolution are breakthroughs in the field of machine learning which allow machines to perform tasks that, until recently, could only be performed by humans. Faculty Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Erasmus-Programme (e.g. 4 LP. 2 SWS bzw. Research group on theory of machine learning.  T. Mitchell, Machine Learning, McGraw Hill, 1997  A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001  L. Rabiner, A Tutorial on Hidden Markov … Videos, Assignments and Solutions. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … The University of Tübingen explains the chances of the new technology and why it is so … None, Regular duration of studies Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 University of Tübingen. Room: 30-5/A24. This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. Sleep helps us to retain the information that we have learned during the day. None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen: Applicants must also provide adequate proof of English proficiency. This manifests in several recent initiatives: These initatives provide plenty of opportunities for research as well as industry contacts for the students of our master program. Winter semester, Language of instruction The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. nach Vereinbarung. A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). We developed an automated pipeline that uses state-of-the-art machine learning algorithms to create a disease risk model based on a given GWAS SNP dataset and assesses its predictive performance for unseen datasets. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Below, you will find all the information you will need. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. A subreddit dedicated to learning machine learning. Show more Show less. University of Tübingen Department of Computer Science Maria von Linden Str. uni-tuebingen… Home. compositionality. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder people. University of Tübingen Proseminar: Machine Learning. Dozent. Machine Learning The area of Machine Learning introduces key concepts of the field. In the winter term 2020/21 about 2090 students study at the Department of Computer Science: You can find a formal description of the degree here. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … Liebherr-Elektronik GmbH funds research project at the University of Tübingen. Back; Team. The department collaborates with major enterprises and research institutes both nationally and internationally. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. Department of Computer Science Sand 14 72076 Tübingen +49 7071 29 76361 +49 7071 29 5719, Studying at the Department of Computer Science, Geschwister-Scholl-Platz 72074 Tübingen Germany, © 2020 Eberhard Karls Universität Tübingen, Tübingen. Zeit. University of Tübingen. No, Application deadline 1st semester degree in mathematics from the Saarland University in Germany in 2010, and the Ph.D. degree in mathematics from the University of Freiburg in 2015. GW] on different European master's programs related to artificial intelligence and machine learning. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … 72076 Tübingen. Thus, ethical discussion on the responsible usage of data is of growing importance. To help you decide whether Tübingen is right for you, here are some contact points and information on studying in Germany: Due to very fast technological developments in handling large amounts of data and apply findings in a wide variety of applications, there is an ever growing need for specialists in machine learning. The institute is situated in one of the traditional German university towns of Tübingen, Baden-Württemberg, which famous for its boat trips and the marvelous architecture of its old town Hölderlin. The master thesis is recommended for the fourth semester. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Please arrange for a cv, a motivation letter, BSc. E-mail: ulrike.luxburg (at)uni … Developing a machine-learning algorithm for mushroom orientation estimation. Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … University of Tübingen Department of Computer Science Maria von Linden Str. The course is designed to run alongside an analogous course on Statistical Machine Learning (taught, in the Summer of 2020, by Prof. Dr. Ulrike von Luxburg). 11, 72074 Tübingen zsbspam email@example.com +49 7071 29-72555, E-Mail: studyspam firstname.lastname@example.org Phone: +49 7071 29-76833, Application and admission of international students, All contact persons, responsibilities and opening hours, FAQ / Frequently asked questions of international applicants, If you have questions concerning your application or your admission, please contact Prof. Dr. Matthias Hein +49-(0)7071-29-70831 E-Mail, If you have any questions concerning the process or organisation of your studies, please contact the students' advisory service: studienberatungspam email@example.com. Back; Team. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… In addition, some departments have their own subject-specific services providing information on studying abroad. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Welcome to our International Master's Program in Machine Learning! In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. 6, D-72076 Tübingen ... We seek to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence. Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. Department of Computer Science. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Optional time abroad You may choose to spend some time abroad as part of any study program. Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. Machine learning is a key technology of the 21st century. positions . Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. Summer term 2015: Machine learning (Master CS and Maths, 4 + 2 SWS). We welcome Zeynep Akata as new professor of computer science! Education in problem solving capabilities is a central training objective. I am a professor for computer science, with research focus on the theory of machine learning. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Machine Learning The area of Machine Learning introduces key concepts of the field. Tuition and other fees. and MSc. Computer science: Programming, Algorithms and Data Structures. I am also a fellow at the Max Planck Institute for Intelligent Systems. In the first semester Mathematics for Machine Learning, and Data Literacy are recommended modules, followed by Statistical Learning, Probabilistic Inference and Learning and Deep Learning in the next semester. Jobs and internships can be found in the Praxisportal. Machine learning is a key technology of the 21st century. We know from animal experiments that new memories are reactivated during sleep. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. San Diego, California Research Scholar in the Systems Biology Research Group at UCSD Research Education Eberhard-Karls-Universität Tübingen / University of Tuebingen 2006 — 2011 Dr. rer. conscious reasoning. Winter term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS) Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS). In this whole Master program, besides professional expertise, graduates will also acquire language skills and intercultural competence due to the program’s international nature – another requirement of the international job market, both in academia and without. Wilhelmstr. Brief Bio: Peter Ochs received the M.Sc. papers. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17). Welcome to our International Master's Program in Machine Learning! Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in bioinformatics and its application to the life sciences.