MLCC 2015 - Machine Learning Crash Course

Course at a Glance

The course will be held on June 22th-26th, 2015 at DIBRIS (University of Genoa, Italy)

(News!) Videos of MLCC 2015 are available at this link!!

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.

MLCC 2015 is free of charge. We limited the number of accepted students to 120.

120 out of 120 students registered

We reached the maximum number of students! Registration is now closed.

Basic Info

Venue

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

(new!) Morning classes (theory) will be held in classroom 506. Laboratories will take place in rooms SW1,SW2 and 218. Directions to the classrooms will be provided at the DIBRIS entrance in Via Dodecaneso 35.

Genova

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

Accomodations

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

Lunch

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

Instructors

Lorenzo Rosasco

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

lorenzo (dot) rosasco (at) unige (dot) it

Francesca Odone

Universita' di Genova

francesca (dot) odone (at) unige (dot) it

Guest Speakers

Nicolò Cesa-Bianchi

Universita' degli studi di Milano

Cédric Févotte

Laboratoire Lagrange - CNRS, Observatoire de la Côte d'Azur and Université de Nice Sophia Antipolis

Giorgio Metta

iCub Facility - Istituto Italiano di Tecnologia

Joel Z. Leibo

Google Deep Mind

Syllabus

CLASS	DAY	TIME	SUBJECT
1	Mon 22	9:30 - 11:00	Introduction to Machine Learning
2	Mon 22	11:30 - 13:00	Local Methods and Model Selection
3	Mon 22	14:00 - 16:00	Laboratory - Local Methods for Classification
4	Tue 23	9:30 - 11:00	Regularization Networks I: Linear Models
5	Tue 23	11:30 - 13:00	Regularization Networks II: Kernels
6	Tue 23	14:00 - 16:00	Laboratory - Regularization Networks
-	Wed 24	9:30 - 10:10	Talk by Cédric Févotte
-	Wed 24	10:20 - 11:00	Talk by Nicolò Cesa-Bianchi
-	Wed 24	11:30 - 12:10	Talk by Giorgio Metta
-	Wed 24	12:20 - 13:00	Talk by Joel Z Leibo
-	Wed 24	Afternoon	Free
7	Thu 25	9:30 - 11:00	Dimensionality Reduction and PCA
8	Thu 25	11:30 - 13:00	Variable Selection and Sparsity
9	Thu 25	15:30 - 17:30	Laboratory - PCA and Sparsity
10	Fri 26	9:30 - 11:00	Clustering
11	Fri 26	11:30 - 12:15	Applications of Machine Learning
11	Fri 26	12:15 - 13:00	GURLS - Machine Learning made Easy
11	Fri 26	14:00 - 16:00	(Optional) Laboratory - Tutorial on GURLS

Organizers

Carlo Ciliberto

Laboratory for Computational and Statistical Learning. Istituto Italiano di Tecnologia and Massachusetts Institute of Technology)

cciliber (at) mit (dot) edu

Giulia Pasquale

iCub Facility (also Laboratory for Computational and Statistical Learning) Istituto Italiano di Tecnologia

giulia (dot) pasquale (at) iit (dot) it