• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

IDAO Online Round Results. Next Up, the Final

On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.

A total of 902 teams registered for the Olympiad that took place earlier this year from January 15 to February 11, with 1533 participants from 55 different countries. Thirty-one of the best teams made it through to compete in the IDAO finals in April, including data analysts from Russia, Belarus, Israel, Peru, India, Brazil, Ukraine and Azerbaijan.

'Three weeks of late nights, early mornings, sleeping with collaborative filtering and waking up with gradient boosting...' — shares Samir Mammadov, a finalist from ADA University, Azerbaijan.

The final of the international Olympiad will be held in Moscow, from April 2-4, at the Yandex office site. For thirty-six hours, the participants will not only train the model but create a full-fledged prototype, which will be tested for both accuracy and performance.

This will be the first International Data Analysis Olympiad in Russia, and the organizers are pleased to see the interest in machine learning from students, company employees and others at the event.

IDAO was created by leading data analysis specialists for their future colleagues. This Olympiad aims to unite analysts, scientists, professionals and junior researchers from all over the world together on one platform.

Within the framework of the Olympiad, there will also be lectures and master-classes from international specialists in Machine Learning and Data Science.

IDAO winners will receive valuable prizes. In addition, the HSE Faculty of Computer Science and Harbor.Space University will provide the best teams with scholarships that fully cover the cost of education on their educational programmes.

See also:

International Data Analysis Olympiad (IDAO) to Be Held for the Second Time

The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.

All HSE Students Are Taught Data Analysis. What Does This Mean?

The Data Culture project at HSE is celebrating its first anniversary! Its key concept is that all students should possess at least basic competencies in data analysis, since data skills are increasingly becoming an entry-level requirement for professionals in almost every field. More than half of all HSE programmes were involved in the project in its first year. In the following academic year, the project is being expanded to cover all programmes and all students. Let’s have a closer look at the project’s profile and try to see the ways students can benefit.

Join HSE's English-taught Courses on Coursera

In July, HSE is launching two English-taught courses on Coursera. Enrollement for the courses is still open. The full list of online courses offered by HSE is available on HSE MOOCs page.

HSE Becomes LHCb Associate Member at CERN

The Higher School of Economics has joined the LHCb collaboration at the Large Hadron Collider, which is operated by the European Organization for Nuclear Research. The group from HSE will consist of researchers from the Laboratory of Methods for Big Data Analysis (LAMBDA). This will give HSE researchers full access to data from the collaboration and allow the university to participate in various projects.

Changes in Education Start with Innovations ‘from Below’

On June 5th, the results of the Competition of Innovations in Education (KIVO–2018) were announced. The competition was organized by the HSE Institute of Education together with the Rybakov Fund. Out of 503 applications, the jury selected 28 projects. Their authors will take part in an innovation accelerator summer school, which will take in Moscow in late June. The competition finals will be held in autumn.

HSE Opens Joint Department with SAS

The joint department with SAS at the HSE Faculty of Computer Science aims to support educational programmes in data analysis and enrich teaching and learning with business expertise.  The Higher School of Economics is the first Russian university to have founded a joint department with SAS.

HSE Professor to Head Up Machine Learning Research at Samsung Centre for Artificial Intelligence

On May 29, Samsung opened its new Artificial Intelligence Centre in Moscow. Dmitry Vetrov, Professor of the HSE Faculty of Computer Science, will become one of its leaders and oversee research in machine learning.

Olympiad Victory Takes Student from Vietnam to HSE

Thuy Tien Huynh, a 21-year-old from Ho Chi Minh City, Vietnam, has long been interested in Russian language and culture, classic Russian literary works, movies, and music from the Soviet era. While searching for opportunities to study abroad in Russia as a student in the faculty of Russian Linguistics and Literature at the University of Social Sciences and Humanities in Vietnam, she came across information on the HSE International Olympiad and decided to give it a shot.

First International Data Analysis Olympiad Held in Moscow

On April 4, the winners of the First International Data Analysis Olympiad (IDAO) were announced. The event was organized by the HSE Faculty of Computer Science, Yandex, and Harbour.Space University (Barcelona) with the support of Sberbank. Magic City team from St. Petersburg took out first prize, a team from the Ukraine came second, and the Apex team from Belarus came third.

Machine Learning Helping to Save Money at CERN

Researchers at HSE’s Laboratory of Methods for Big Data Analysis (LAMBDA) and the Yandex School of Data Analysis have significantly reduced the cost of CERN’s future SHiP detector. The detector will search for particles responsible for still unexplained phenomena in the Universe. With use of modern machine learning methods, LAMBDA and Yandex scientists came up with very effective configuration of magnets which protect the detector from background particles. As a result, the cost of the entire structure was reduced by 25%.