Report from the conference Data Fest

At the beginning of March, a two-day Data Fest ² conference was held at the Mail.Ru Group office. It was dedicated to all sorts of topical issues in data analysis, both practical and theoretical. In addition, the conference included a hackathon, the participants of which tried to predict the results of the Dota 2 tournament as accurately as possible, as well as a pitch-poster session for researchers at which various developments and research projects were presented. We offer you a video of all performances at Data Fest ² .

Rostislav Yavorsky, Higher School of Economics, "How to use network data analysis for management decisions." Rostislav’s speech consists of two parts: “Visualization of the real structure of the organization” and “Analysis and visualization of professional communities”. Video report .


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Peter Clark (Peter Clark), Allen AI Institute “From information extraction to knowledgeable machines”. Peter's presentation was devoted to the Aristo project, as well as techniques for automating the extraction of information. Video report .

Stanislav Semenov, Data Scientist, Kaggle top-3, “About the Telstra Kaggle Competition”. In his report, Stanislav spoke about the task facing the participants of the competition, and how to solve it. Video report .



Sergey Nikolenko, Deloitte Analytics Institute, Higher School of Economics, “From naive bayes to topic modeling”. Sergey's speech was devoted to the introduction to thematic modeling. Video report .



Sergey Gerasimov (VMK MSU), Alexander Meshcheryakov (Space Research Institute, RAS), “Problems of data analysis in astrophysics”. This talk describes the role of machine learning and big data in solving actual problems in astrophysics. Video report .



Roman Chebotaryov, CROC, “Choosing a model quality assessment metric”. Roman devoted his report to the actual problem at the intersection of classical data science and real business needs. Video report .



Mikhail Trofimov. In his short speech, Mikhail introduced the audience to such a concept as ML-training. Video report .

Mikhail Burtsev, MIPT, Founder of DeepHack, “Last Hits of Deep Learning”. Michael's report is an overview of interesting works in the field of deep learning. Video report .



Ivan Lobov, Data-Centric Alliance, “Current Trends in the Field of Deep Learning Research”. Ivan spoke about one of the trends - the study of attention and memory in neural networks. Video report .



Dmitry Kropotov, VMK MSU, Bayesian Methods Group, “Methods for Optimizing Large Sums of Functions”. Dmitry presented to the public a brief review of stochastic optimization methods used in deep learning. Video report .



Dmitry Bugaychenko, Classmates. Dmitry had two presentations: during the first, he spoke in detail about the future hackathon conducted by Odnoklassniki - SNA Hackathon 2016, and the second presentation was devoted to the topic of data analysis in social networks in practice. Video recording of the first report . Video of the second report .



Vladimir Gulin, Mail.Ru Group. Vladimir in his report talked about how you can use the "click" data to improve rankings in search engines. Video report .



Alexander Schus, Mail.Ru Group. Alexander's speech was devoted to solving actual problems in the field of hacking accounts of various network services. Video report .



Alexander Semenov, Higher School of Economics, "Analysis of social networks in telecom." Alexander told about the form of network analysis presented today in telecom. Video report .



Panel discussion "Features of hiring Data Scientist". Videotape .

Panel discussion "The introduction of research in production." Videotape .

Photos from the event are available in our VKontakte group .