Computer Science > Groups > Theory of Machine Learning 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. The University of Tübingen is one of the most prestigious research universities worldwide. Home. Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. 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). Videos, Assignments and Solutions. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Jobs and internships can be found in the Praxisportal. Back; Open Positions; People. University of Tübingen Multiple locations . Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. University of Tübingen Department of Computer Science Maria von Linden Str. ... University … nach Vereinbarung. Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Phone: +49 (0)7071 29-70832. Which requirements must I meet for studies? Which topics are dealt with in the program? Please arrange for a cv, a motivation letter, BSc. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Back; Team. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. Research group on theory of machine learning. If you have questions on the program or the admission requirements, please first check the webpages above and only if your question is not answered there, then contact: If you have any questions concerning the application portal or organisation of your studies, please contact the students' advisory service. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. [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 … Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. Show more Show less. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. E-mail: ulrike.luxburg (at)uni … Information about the Alumni of Tübingen. 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. Coronavirus research at the University of Tübingen, Corona virus: Information for researchers, Studiengänge in Kooperation mit anderen Universitäten, Master’s studies at the University of Tübingen, Schlüsselqualifikationen: Das Studium Professionale, Doctoral studies at the University of Tübingen, Progressing successfully through your studies, Transregional Collaborative Research Centers (CRC-TRRs), Funding and support for junior researchers, I – Development, Structure and Legal Affairs, Division VIII – Construction, Safety, and Environment, Center for Interdisciplinary and Intercultural Studies, Dr. Eberle Zentrum für digitale Kompetenzen, European Research Center on Contemporary Taiwan, Informations-, Kommunikations- und Medienzentrum (IKM), International Center for Ethics in the Sciences and Humanities, Zentrum für Evaluation und Qualitätsmanagement, Center for Gender and Diversity Research (ZGD), Ansprechpersonen für Fragen im Zusammenhang mit sexueller Belästigung, Programs and modules for international students, Getting started and orientation for international students, Corona virus: Information for students from abroad (incomings), After your studies for international students, Advice and counseling for international students, Coronavirus: Informationen für Tübinger Studierende im Ausland (Outgoings), 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, general information and advice on studying abroad, University of Tübingen’s international profile, Contact: University office for the Advising and Admission of International Students, Information on application for international students, Addresses and contact points for international students at the University of Tübingen, Study and conduct research in Germany (DAAD information), Search for persons at the University (EPV), Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic. 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university of tuebingen 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. 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 … Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … We welcome Zeynep Akata as new professor of computer science! … 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. 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 … This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. 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. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. 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. On what criteria are applicants selected? Sleep helps us to retain the information that we have learned during the day. Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. compositionality. Close • Posted by 12 minutes ago. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Germany. 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. In addition, some departments have their own subject-specific services providing information on studying abroad. University of Tübingen Department of Computer Science Maria von Linden Str. 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. Science, Restricted admission Press J to jump to the feed. Welcome to our International Master's Program in Machine Learning! GW] on different European master's programs related to artificial intelligence and machine learning. University of Tübingen. The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. people. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. Welcome to our International Master's Program in Machine Learning! The genius loci - the spirit of the place - is now stronger than ever. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. Uppsala, Schweden). code. Overview of application deadlines, Program start 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. Department of Computer Science. 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. papers. No, Application deadline 1st semester The students who takes this course in Tübingen … Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. Zeynep Akata Professor. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. I am a professor for computer science, with research focus on the 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 … Dozent. Bachelor degree in subject related to machine learning i.e. Liebherr-Elektronik GmbH funds research project at the University of Tübingen. The purpose of this post is to give an overview of the Machine Learning … As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. Excellent research and teaching are Tübingen’s answer to … Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. At least one practical course and one seminar are recommended for the second or third semester. Maria von Linden Str. 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. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. 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. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. positions . Zeit. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . Johannes Eichner, Lars Rosenbaum: Sprechstunde. 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. Home. 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. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . Examination and grades: Diploma students can request an examination on this course … Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning 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 studies program deals both with generic methods and their applications to specific fields, making it highly relevant for new career and job market purposes. His research interests are in machine learning, statistics and optimization and the application of machine learning … 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). 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. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. Faculty 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. 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. 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. 6. 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. Research. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. English, Costs Optional time abroad You may choose to spend some time abroad as part of any study program. Here you will find general information and advice on studying abroad. 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. Machine Learning The area of Machine Learning introduces key concepts of the field. 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). transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. Developing a machine-learning algorithm for mushroom orientation estimation. I am also a fellow at the Max Planck Institute for Intelligent Systems. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. The University of Tübingen explains the chances of the new technology and why it is so … 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). 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. Furthermore it offers an easy and informal way to come together and get in touch with other students. For further information see the website Faculty of Science - Doctoral Studies. Develop an algorithm to automate the picking plan for mushroom clusters. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another 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 … The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Tübingen, Germany. Go here to check if you are eligible and know more about the application details. Tuition and other fees. The master thesis is recommended for the fourth semester. Welcome to our International Master's Program in Machine Learning! Machine learning is a key technology of the 21st century. Education in problem solving capabilities is a central training objective. Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. Software engineering in robotics. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. Wilhelmstr. 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. A subreddit dedicated to learning machine learning. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. What is special about the Tübingen program? Back; Open Positions; People. University of Tübingen Proseminar: Machine Learning. and MSc. 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. 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. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … Thus, ethical discussion on the responsible usage of data is of growing importance. 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). conscious reasoning. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. Intro to Deep Learning from Andreas Geiger At University of Tuebingen. 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. 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. ML algorithms learn a program that solves a specific problem by looking at data that characterizes it. Questions can be directed to konstantin.genin@uni-tuebingen.de. 2 SWS bzw. 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. University of Tübingen. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning 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. The University of Tübingen is one of the most prestigious research universities worldwide. Home. Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. 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). Videos, Assignments and Solutions. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Jobs and internships can be found in the Praxisportal. Back; Open Positions; People. University of Tübingen Multiple locations . Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. University of Tübingen Department of Computer Science Maria von Linden Str. ... University … nach Vereinbarung. Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Phone: +49 (0)7071 29-70832. Which requirements must I meet for studies? Which topics are dealt with in the program? Please arrange for a cv, a motivation letter, BSc. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Back; Team. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. Research group on theory of machine learning. If you have questions on the program or the admission requirements, please first check the webpages above and only if your question is not answered there, then contact: If you have any questions concerning the application portal or organisation of your studies, please contact the students' advisory service. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. [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 … Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. Show more Show less. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. E-mail: ulrike.luxburg (at)uni … Information about the Alumni of Tübingen. 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. Coronavirus research at the University of Tübingen, Corona virus: Information for researchers, Studiengänge in Kooperation mit anderen Universitäten, Master’s studies at the University of Tübingen, Schlüsselqualifikationen: Das Studium Professionale, Doctoral studies at the University of Tübingen, Progressing successfully through your studies, Transregional Collaborative Research Centers (CRC-TRRs), Funding and support for junior researchers, I – Development, Structure and Legal Affairs, Division VIII – Construction, Safety, and Environment, Center for Interdisciplinary and Intercultural Studies, Dr. Eberle Zentrum für digitale Kompetenzen, European Research Center on Contemporary Taiwan, Informations-, Kommunikations- und Medienzentrum (IKM), International Center for Ethics in the Sciences and Humanities, Zentrum für Evaluation und Qualitätsmanagement, Center for Gender and Diversity Research (ZGD), Ansprechpersonen für Fragen im Zusammenhang mit sexueller Belästigung, Programs and modules for international students, Getting started and orientation for international students, Corona virus: Information for students from abroad (incomings), After your studies for international students, Advice and counseling for international students, Coronavirus: Informationen für Tübinger Studierende im Ausland (Outgoings), 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, general information and advice on studying abroad, University of Tübingen’s international profile, Contact: University office for the Advising and Admission of International Students, Information on application for international students, Addresses and contact points for international students at the University of Tübingen, Study and conduct research in Germany (DAAD information), Search for persons at the University (EPV), Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic.

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