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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:

First Cohort Graduates from Master’s Programme in Statistical Learning Theory

The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.

DNA Secondary Structures Lead to Gene Mutations that Increase the Risk of Cancer

Researchers have used machine learning to discover that the two most widespread DNA structures — stem-loops and quadruplexes — cause genome mutations that lead to cancer. The results of the study were published in BMC Cancer.

HSE Opens Laboratory of Financial Data Analysis

Part of the Centre of Deep Learning and Bayesian Methods and another partner project between Sberbank and HSE University’s Faculty of Computer Science, the laboratory will focus on applying machine learning methods to financial services.

31 Teams from Seven Countries Make It to IDAO Finals

On February 18, the online round of the International Data Analysis Olympiad (IDAO) officially finished. The Data analysis competition is organized by the HSE Faculty of Computer Science and Yandex with the support of Sberbank. This year 1287 teams from 78 countries took part in the online round.

1287

teams from 78 countries have registered for the International IDAO Data Analysis Olympiad organized by the HSE Faculty of Computer Science and Yandex with the support of Sberbank.

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.