MLCC 2019
Machine Learning Crash Course
Genova, June 17-21

Course at a Glance

The course will be held on June 17th-21st at DIBRIS (University of Genova, Italy)

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 “Science of Data”. This course provides an introduction to the 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.

This introductory course is suitable for undergraduate/graduate students, as well as professionals.

Course Structure:

  • 06/17 Monday 9:30-13:00 Lessons - 14:00-16:00 Laboratory
  • 06/18 Tuesday 9:30-13:00 Lessons - 14:00-16:00 Laboratory
  • 06/19 Wednsday 9:30-12:30 Talks
  • 06/20 Thursday 9:30-13:00 Lessons - 14:00-16:00 Laboratory
  • 06/21 Friday 9:30-13:00 Lessons

The course started in 2013 has seen an increasing national and international attendance over the years with a peak of over 100 participants in 2015.

Important dates:

  • application deadline: April 19
  • notification of acceptance: TBA
  • registration fee deadline: TBA

Registration fee (note):

  • students and postdocs: EUR 50
  • professionals: EUR 150
  • UNIGE students and IIT affiliates: no fee
Once accepted, each candidate has to follow the instructions in the acceptance email and proceed with the payment.

Related courses:

Basic Info


Classes will take place at the Department of Informatics Bioengineering Robotics and Systems Engineering (DIBRIS) of the University of Genova in Via Dodecaneso 35, 16146 Genova. See here for directions and travelling information


Genova is in the region of Liguria in the Italian Riviera (see here or here for some nice pics and a video).


Here you can find a list of hotels near the department (~ 20' walk) or in the city centre (~20' by bus).


Here is a list of places where you can go for lunch. And here is a link to the online map.


For more info write to:
vigogna [at] dibris [dot] unige [dot] it
cristian [dot] rusu [at] iit [dot] it
raffaello [dot] camoriano [at] iit [dot] it


Lorenzo Rosasco

University of Genova
(also Istituto Italiano di Tecnologia and Massachusetts Institute of Technology)

lorenzo [dot] rosasco [at] unige [dot] it







106/179:30 - 11:00Introduction to Machine Learning
206/1711:30 - 13:00Local Methods and Model Selection
306/1714:00 - 16:00Laboratory 1: Local Methods for Classification
406/189:30 - 11:00Regularization Networks I: Linear Models
506/1811:30 - 13:00Regularization Networks II: Kernels
606/1814:00 - 16:00Laboratory 2: Regularization Networks
Talk06/199:30 - 10:10 TBA
Talk06/1910:10 - 10:35 TBA
06/1911:00 - 11:30Coffee Break
Talk06/1911:30 - 12:10 TBA
Talk06/1912:10 - 12:35 TBA
706/209:30 - 11:00Dimensionality Reduction and PCA
806/2011:30 - 13:00Variable Selection and Sparsity
906/2014:00 - 16:00Laboratory 3: PCA and Sparsity
1006/219:30 - 11:00Clustering
1106/2111:30 - 13:00Data Representation: Deep Learning
Apply by April 19


Stefano Vigogna

University of Genova (UNIGE)
Laboratory for Computational and Statistical Learning (LCSL)

vigogna [at] dibris [dot] unige [dot] it

Cristian Rusu

Istituto Italiano di Tecnologia (IIT)
Laboratory for Computational and Statistical Learning (LCSL)

cristian [dot] rusu [at] iit [dot] it

Raffaello Camoriano

Istituto Italiano di Tecnologia (IIT)
Laboratory for Computational and Statistical Learning (LCSL)

raffaello [dot] camoriano [at] iit [dot] it