university of tuebingen machine learning

Phone: +49 (0)7071 29-70832. Accordingly, Dr. Konstantin Genin, leader of the "Ethics and Epistemology" research group in the Cluster of Excellence: "Machine Learning - New Perspectives for Science" at the University of Tübingen, advertises. 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. His research interests are in machine learning, statistics and optimization and the application of machine learning … Human-Computer Interaction. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. 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. We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. Below, you will find all the information you will need. Develop an algorithm to automate the picking plan for mushroom clusters. Faculty Zeit. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. 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. We know from animal experiments that new memories are reactivated during sleep. Dozent. Information about the Alumni of Tübingen. 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. 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. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. Machine learning is at the heart of a technological and societal revolution, although today’s learning systems do not generalize well to new situations, cannot learn … Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. 4 semester, Is a combination subject required? Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Go here to check if you are eligible and know more about the application details. Close • Posted by 12 minutes ago. Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. 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. Show more Show less. Tuition and other fees. Videos, Assignments and Solutions. Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Research group on theory of machine learning. people. For example, one might be able to prove that an algorithm is statistically consistent: when the algorithm gets to see an infinite amount of data, its prediction performance is going to converge to the best possible one. Science, Restricted admission Since machine-learning algorithms are tremendously useful in many engineering areas, such as complex oil and gas processes, Dr. Akhil Datta-Gupta is leading Texas A&M University's participation in a multi-university … University of Tübingen Department of Computer Science Maria von Linden Str. The studies program deals both with generic methods and their applications to specific fields, making it highly relevant for new career and job market purposes. 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. The department collaborates with major enterprises and research institutes both nationally and internationally. about our group. 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). For further information see the website Faculty of Science - Doctoral Studies. Germany. 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. Welcome to our International Master's Program in Machine Learning! The CS department places strong emphasis on interdisciplinary cooperation with other university departments, in particular medicine, biology, psychology, and media studies, and also with the three Max Planck Institutes located in Tübingen. compositionality. 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). As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. 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. Wilhelmstr. A subreddit dedicated to learning machine learning. conscious reasoning. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. University of Tübingen Department of Computer Science Maria von Linden Str. Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. 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. 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. Admission to the international Master’s program in Machine Learning is not admission-restricted, but all students, including those holding a Bachelor’s degree in Computer Science, are requested to submit a formal application. Which requirements must I meet for studies? 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. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. 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. We welcome Zeynep Akata as new professor of computer science! Examination and grades: Diploma students can request an examination on this course … 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. Here you will find general information and advice on studying abroad. nach Vereinbarung. Home. I am also a fellow at the Max Planck Institute for Intelligent Systems. Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … The master thesis is recommended for the fourth semester. [8] T. Mitchell, Machine Learning, McGraw Hill, 1997 [9] A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001 [10] L. Rabiner, A Tutorial on Hidden Markov … Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. positions . by SoP | May 25, 2017 | News | 0 comments. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . At least one practical course and one seminar are recommended for the second or third semester. 2 SWS bzw. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. … 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. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Courses are held in English. Liebherr-Elektronik GmbH funds research project at the University of Tübingen. Winter semester, Language of instruction 11, 72074 Tübingen zsbspam prevention@uni-tuebingen.de   +49 7071 29-72555, E-Mail: studyspam prevention@uni-tuebingen.de    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 prevention@informatik.uni-tuebingen.de. Machine learning is a key technology of the 21st century. Questions can be directed to konstantin.genin@uni-tuebingen.de. Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 Applicants must provide adequate proof of English proficiency, documented by one of the following documents: The Machine Learning program cannot be complemented with a minor subject. Room: 30-5/A24. None, Regular duration of studies 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 … 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). 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. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. Erasmus-Programme (e.g. Machine Learning The area of Machine Learning introduces key concepts of the field. and MSc. about. 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. Excellent research and teaching are Tübingen’s answer to … 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. On what criteria are applicants selected? The student association is involved in many organizational issues. Maria von Linden Str. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Excellent research and teaching are Tübingen’s answer to the challenges of the future in a globalized world. 72076 Tübingen. Optional time abroad You may choose to spend some time abroad as part of any study program. 4 LP. 08.07.2020. 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. code. Tübingen, Germany. Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. 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. German Abitur certificate with proof of 6 (G8) or 7 years (G9) of English language instruction, Cambridge Certificate in Advanced English (CAE), Higher education entrance qualification from Great Britain, Ireland, USA, Canada, Australia, New Zealand, Bioinformatik Bachelor of Science:                         107, Bioinformatik/Bioinformatics Master of Science: 122, Bioinformatik Promotion:                                           32, Informatik Bachelor of Science Hauptfach:   676, Informatik Bachelor of Science Nebenfach:    68, Informatik Master of Science:                          257, Informatik Promotion:                                        110, Informatik Bachelor of Education:                  75, Informatik Bachelor of Education berufl LA:   2, Informatik Master of Education:                        9, Informatik Vorleistungen Erweiterungsfach: 6, Erweiterungsprüfung:                                          6, Informatik Lehramt:                                             1, Kognitionswissenschaft Bachelor of Science: 243, Kognitionswissenschaft Master of Science:    126, Kognitionswissenschaft Promotion:                   19, Medieninformatik Bachelor of Science: 143, Medieninformatik Master of Science:      53, Medizininformatik Bachelor of Science:                                 89, Medizininformatik/Medical Informatics Master of Science: 15. Education in problem solving capabilities is a central training objective. Research. Sleep helps us to retain the information that we have learned during the day. I am a professor for computer science, with research focus on the theory of machine learning. Which topics are dealt with in the program? The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder Johannes Eichner, Lars Rosenbaum: Sprechstunde. Furthermore it offers an easy and informal way to come together and get in touch with other students. Head of Examination Board and Course Director, © 2020 Eberhard Karls Universität Tübingen, Tübingen, Preparatory Course Informatics for Life Scientists, Course List for the Wintersemester 2020/2021, Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster ``Machine Learning: New Perspectives for Science'', International Max Planck Research School for Intelligent Systems, German Conference on Pattern Recognition (28.9.-1.10.2020), Zeynep Akata and Andreas Geiger were awarded ERC Starting Grants. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. E-mail: ulrike.luxburg (at)uni … Press J to jump to the feed. Since this is a highly demanding area, a PhD degree is often required. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. In addition, some departments have their own subject-specific services providing information on studying abroad. This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . Brief Bio: Peter Ochs received the M.Sc. 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Assignments (only accessible for … Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. Machine learning is a key technology of the 21st century. What is special about the Tübingen program? Machine Learning The area of Machine Learning introduces key concepts of the field. Research group on theory of machine learning. 6. Lecture Mathematics for Machine Learning (MSc, 4+2 SWS) Research seminar "Machine Learning Theory" (runs constantly) Future In Summer 2021, I will teach the Bachelor course on Theoretical Computer Science (BSc, 4+2 SWS). University of Tübingen Multiple locations . Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. Overview of application deadlines, Program start University of Tübingen. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… Uppsala, Schweden). The University of Tübingen was founded in 1477 by Count Eberhard V (Eberhard im Bart, 1445–1496), later the first Duke of Württemberg, a civic and ecclesiastic reformer who established the school after becoming absorbed in the Renaissance revival of learning during his travels to Italy. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Umfang . 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). Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 6 72076 Tübingen Germany Room: 30-5/A10 Phone: +49 (0)7071 29-70847 E-mail: debarghya.ghoshdastidar(at)uni-tuebingen.de ghoshdas(at)informatik.uni-tuebingen.de The University of Tübingen is one of the most prestigious research universities worldwide. 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 … papers. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. The students who takes this course in Tübingen … Back; Open Positions; People. 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. University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany Back; Team. No, Application deadline 1st semester The purpose of this post is to give an overview of the Machine Learning … In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … The University of Tübingen explains the chances of the new technology and why it is so … The genius loci - the spirit of the place - is now stronger than ever. Back; Open Positions; People. uni-tuebingen… Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Computer science: Programming, Algorithms and Data Structures. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. 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. ... University … Back; Team. Department of Computer Science. You should start planning it 12 to 18 months before your departure.

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