[visionlist] MaLGa Summer Schools 2021: applications open!

[Nicoletta Noceti]

Please circulate!

*Apologies for multiple posting*

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RegML 2021 - Regularization Methods for Machine Learning
June 21 - 25  Instructor Lorenzo ROSASCO
https://ml.unige.it/education/regml2021/ <https://ml.unige.it/education/regml2021/>
Deep Learning: a hands-on introduction
June 28 - July 2  Instructor Nicoletta NOCETI
https://ml.unige.it/education/dl2021/ <https://ml.unige.it/education/dl2021/>
Computer Vision Crash Course
July 5 - 9 Instructor Francesca ODONE
https://ml.unige.it/education/cvcc2021/ <https://ml.unige.it/education/cvcc2021/>
                      Genova, Italy, June 21 - July 9
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They are 20 hours courses including theory classes and practical laboratory sessions.
RegML is an advanced machine learning course covering foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods. In many respects the course is a compressed version of the 9.520 course at MIT.
DL is an introductory course to Deep Learning, covering  the various types of architectures and tools currently available. The theoretical classes will be coupled with hands-on activities, to practice the use of deep architectures on different scenarios and data types. Besides well established approaches, the course will also highlight current trends and open issues.
CVCC is a crash course presenting the basic principles of computer vision and visual perception in artificial agents. In the first part we will present elements of classical computer vision. In a second part, students will get acquainted with the problem of representing and understanding the image content adaptively by means of machine learning algorithms

Apply  *BEFORE*  May 16th

The instructors,
Nicoletta Noceti - Francesca Odone - Lorenzo Rosasco

For questions write to malga.unige at gmail.com <mailto:malga.unige at gmail.com>

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Nicoletta Noceti, PhD
Assistant Professor in Computer Science
MaLGa - Machine Learning Genoa center https://ml.unige.it  <https://ml.unige.it/>
DIBRIS - Università di Genova, Italy
Tel. +39 010 3536704

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