MLCC 2020 @ simula
Machine Learning Crash Course
Oslo, May 25-29

Course at a glance

The course will be held on May 25-29 at Simula Research Laboratory (Oslo, Norway)

Modern machine learning (ML) is a key to develop intelligent systems and analyze data in science and engineering. Today it provides impressive results in many fields, enabling intelligent technologies such as artificial voice assistants, and smart services such as optimized energy consumption. ML systems are nowadays considered as one of the largest share of growing market. While the amount of available tools and frameworks is becoming impressive, their effective application to real-world challenges requires an appropriate expertise. However, most of ML methods leverage the same building blocks and share basic concepts. Therefore, key to applying machine learning lays in understanding the basic formulations, relating them with prototypical study cases, reasoning on the situations when they are most appropriate. This 5-day course provides an introduction to the fundamental methods at the core of modern Machine Learning, covering theoretical foundations and essential algorithms. The program includes theoretical classes, lab sessions, and an industry workshop.


This course is suitable for undergraduate/graduate students, as well as professionals who are starting, or need to brush up machine learning skills.

MLCC started in 2014 has seen an increasing national and international attendance over the years with more than 150 participants in 2019.


Related courses:


Important dates:

  • application deadline: April 3
  • notification of acceptance: April 15
  • registration fee deadline: April 25


Registration fee:

  • students and postdocs: no fee
  • professors and scientists: NOK 1000
  • professionals: NOK 5000
Once accepted, each candidate has to follow the instructions in the acceptance email and proceed with the payment. The registration fee is non-refundable.

Basic Info

Venue

MLCC 2020 will take place at Simula Research Laboratory, Martin Linges vei 25, 1364 Fornebu, Norway. Consult our page on directions and travelling information for more details on how to get to Simula. All lectures will take place in “Pusterommet” auditorium at Simula. All project work will take place in assigned workspaces at Simula (detailed later).


Accommodation

There are several hotels and options for accommodation available near Simula, and the city center is 25 minutes away by bus.
Here you can find a list of hotels near Simula.


Lunch

Sandwiches and salads will be provided at 13:00. Hot meal and other options can be found in the canteen, just outside Simula.


Contact

Valeriya Naumova: valeriya [at] simula [dot] no

Instructors

Lorenzo Rosasco

University of Genova (also MIT - IIT)
Machine Learning Genoa Center

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

Valeriya Naumova

Simula Research Laboratory
Machine Intelligence Department

valeriya [at] simula [dot] no

Stefano Vigogna

University of Genova
Machine Learning Genoa Center

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



Industrial Workshop

Program

DAY TIME PLACE EVENT ABOUT FILES
Mon 25th8:30-9:30PusterommetRegistration
9:30-11:00PusterommetClass 1Introduction to Machine Learning
11:30-13:00PusterommetClass 2Local Methods and Model Selection
14:00-16:00 Lab 1Local Methods for Classification
Tue 26th9:30-11:00PusterommetClass 3Regularization Networks I: Linear Models
11:30-13:00PusterommetClass 4Regularization Networks II: Kernels
14:00-16:00 Lab 2Regularization Networks
Wed 27th9:30-13:00WorkshopTBA
Thu 28th9:30-11:00PusterommetClass 5Dimensionality Reduction and PCA
11:30-13:00PusterommetClass 6Variable Selection and Sparsity
14:00-16:00 Lab 3PCA and Sparsity
Fri 29th9:30-11:00PusterommetClass 7Clustering
11:30-13:00PusterommetClass 8Data Representation: Deep Learning
Apply here by April 3!

For any inquiries, write to mlcc2020applications@gmail.com



Organizers

Valeriya Naumova

Simula Research Laboratory
Machine Intelligence Department

valeriya [at] simula [dot] no

Per Magne Florvaag

Simula Research Laboratory
Machine Intelligence Department

permagne [at] simula [dot] no

Lorenzo Rosasco

University of Genova (also MIT - IIT)
Machine Learning Genoa Center

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

Stefano Vigogna

University of Genova
Machine Learning Genoa Center

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