Giancarlo Gaimari MLCC 00

Machine Learning Crash Course 2015

Few days ago CBMM and its partners, the Istituto Italiano di Tecnologia (IIT) , LCSL, and the University of Genova co-organized a Machine Learning Course for this summer in Genoa, Italy.

The course held June 22nd – 26th, 2015, and involved more than 120 researchers, professionals, undergraduate and graduate students coming from all over the world.

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The MLCC instructors were:
– Lorenzo Rosasco, Universita’ di Genova (also Istituto Italiano di Tecnologia and Massachusetts Institute of Technology).
– Francesca Odone, Universita’ di Genova.

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School website: http://lcsl.mit.edu/courses/mlcc/mlcc2015/

MLCC 2015 is organized within the Phd Programs in PhD program in Computer Science and Systems Engineering

Phd program in Bioengineering and Robotics  in collaboration with the University of Genova ,  Center for Brain Mind and Machines— CBMM  and the Istituto Italiano di Tecnologia— IIT

The course included interesting talks by exceptional speakers:

  • Cedric Fèvotte (Laboratoire Lagrange, Nice)
  • Nicolò Cesa-Bianchi (Dipartimento di Informatica, Università di Milano)
  • Giorgio Metta (iCub Facility – IIT)
  • Joel Z Leibo (Google Deep Mind)
  • Subramanian Ramamoorthy (School of Informatics, University of Edinburgh)

 

Course Overview: Machine Learning is a key to develop intelligent systems and analyze data in science and engineering. Machine Learning engines enable intelligent technologies such as Siri, Kinect or Google self driving car, to name a few.
At the same time, Machine Learning methods help deciphering the information in our DNA and make sense of the flood of information gathered on the web, forming the basis of a new ³Science of Data².
This course provides an introduction to fundamental methods at the core of modern Machine Learning.
It covers theoretical foundations as well as essential algorithms. Classes on theoretical and algorithmic aspects are complemented by practical lab sessions.

 

MLCC is for sure to be considered one of Genoa excellences within research and training arena.

Giancarlo Gaimari

 

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