About school

Lviv Machine Learning School is organized by faculty of applied science at Ukrainian Catholic University. It continues the initiative of the Data Science summer school. School’s participants – the students, PhD candidates, young professionals – will study the methods of the machine learning in the problem domains of Computer Vision and Natural Language Processing.

The school’s courses will be problem-oriented, i.e. study process will be based on the real-world problems and their solutions via machine learning approach. The participants will gain solid theoretical knowledge as well as a lot of practical work. Every course means to have a project work.

Please notice that participant’s knowledge level should be medium or higher. The students have to be familiar with the basic machine learning methods.

The LvCS Machine Learning School dates are January 15-22, 2017. The participants have to choose one track: Computer Vision or Natural Language Processing. Each track has two courses of three study days.

School’s timetable

  • January 15 – participant registration
  • January 16-18 – course #1
  • January 19 – day off
  • January 20-22 – course #2

 

The early and late application deadlines are December 1 and December 15 respectively.
School’s location is Ukrainian Catholic University, Lviv, Ukraine.
The academic program will be conducted in English. The students will gain 3 ECTS.

 

The application is closed.

 

Courses

 

Lecturers

Dmytro Mishkin

CTO at Clear Research
PhD candidate at Czech Technical University, Prague

James Pritts

PhD candidate at
Czech Technical University, Prague

Desmond Elliott

Postdoctoral Researcher,
Institute for Logic, Language and Computation,
University of Amsterdam

Oleksandr Korobov

Founder at ai-labs.org
Researcher, Software Engineer and Data Scientist

 

Partners

Lviv Machine Learning School is supported by the partner companies. We are very grateful to these companies for their contribution.

 

grammarlyBuilt by linguists and language lovers, Grammarly’s writing app finds and corrects hundreds of complex writing errors — so you don’t have to. Millions of users worldwide trust Grammarly’s free and premium products, which are also licensed by more than 600 leading universities and corporations. Grammarly is an Inc. 500 company with offices in San Francisco and Kyiv.

 

Ring Labs is an R&D center in Kiev, working with software development in machine learning, computer vision, intellectual data analysis and other artificial intelligence fields. R&D center in Kiev is always welcoming talented developers. Let’s do great things together!

 

Augmented Pixels creates the world in which drones and robots can see and navigate as humans do. Unique computer vision algorithms (SLAM) of the company allows drones/robots/mobile/HMD navigate outdoor and in the GPS-denied environment with high accuracy by using just basic hardware (RGB Camera + IMU).

 

lviv_cityLviv City Council is a municipal body representing the interests of Lviv community and administrating local affairs on behalf thereof. Lviv City Council is considered to be among the most innovative and progressive authorities in Ukraine implementing brand-new technologies in the areas of administrative services and infrastructure development of the city.

 

Technical partner

FlyElephant is a platform for data scientists, engineers and researchers that accelerates their work and makes doing business easier with automated Data Science and Engineering Simulation.
Our customers can quickly access different Clouds and HPC clusters from a single place; with just one click, get infrastructure with the software and the computing resources that they need; create projects, invite colleagues to join them and share the results within the projects; and deploy computing tasks as APIs without engineers or DevOps. 
FlyElephant is not just a software platform, it is also an expert community. Our partner companies and individual experts can help you solve any of your issues in Data Science and Engineering Simulation array.

 

Contacts

For questions and proposals, please contact us at [email protected].