Categories |
MACHINE LEARNING
DEEP LEARNING
DATA SCIENCE
BIG DATA
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Call for Papers |
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SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic.
LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. https://acdl2022.icas.cc/lecturers/ Žiga Avsec, DeepMind, London, UK Roman Belavkin, Middlesex University London, UK Alfredo Canziani, New York University, USA Alex Davies, DeepMind, London, UK Edith Elkind, University of Oxford, UK Marco Gori, University of Siena, Italy Danica Kragic Jensfel, Royal Institute of Technology, Sweden Yukie Nagai, The University of Tokyo, Japan Panos Pardalos, University of Florida, USA Silvio Savarese Salesforce & Stanford University, USA Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. PAST LECTURERS: https://acdl2022.icas.cc/past-lecturers/ SCHEDULE: https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/01/ACDL-2022-Schedule-Ver1.0.pdf [email protected] |
Credits and Sources |
| [1] ACDL 2022 : 5th Online & Onsite Advanced Course on Data Science & Machine Learning |
