
In almost two weeks, Data Fest⁴ will be held in our Moscow office - the fourth conference that brings together researchers, engineers and developers associated with Data Science in all its manifestations. You will find a rich program, a lot of theoretical and practical sections. Read the details under the cut.

Two-day program of lectures, workshops and interaktivov.

More than 30 speakers with advanced results and developments.

16 sections for every taste, with a sea of new knowledge, skills and acquaintances.

Great company and even more networking with the data science community.
Program for February 11
11:00 - registration
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Atrium, main section
12:00 - opening of the conference. Alexey Natekin (Open Data Science, DM Labs), Mikhail Firulik (Mail.Ru Group).
12:05 -
“ML-competitions” . What do machine learning contests give and what will they never learn at the university?
- Stas Semenov, Top-1 Kaggle: “What does kaggle teach?”
- Alexander Fonarev, Rubbles SBDA Group: "Machine Learning Competitions: Opportunities, Limitations, Pitfalls"
- Moderator of the section: Mikhail Trofimov, ML Works
13:50 -
"ML in the industry .
" How does machine learning solve real practical problems of companies?
- Dmitry Solomentsev, Yandex: “Technologies of hyper local weather forecasts”
- Evgeny Nekrasov and Dmitry Bolkunov, Mail.Ru Group: “Segmentation of users in space-money dimensions”
- Evgeny Burnaev, Skoltech, IITP: “Machine Learning in Engineering and Industrial Applications”
- Moderator: Igor Kretinin, Mail.Ru Group
15:20 - break
16:30 - “
ML in social networks” . From the first person: what does machine learning look like in the two most popular social networks in Russia?
- Pavel Kalaydin, Vkontakte: "Machine Learning at VK"
- Dmitry Bugaychenko, Mail.Ru Group: “Machine Learning at OK”
- Moderator of the section: Mikhail Firulik, Mail.Ru Group
18:20 -
"NLP" . Recent achievements and results of new approaches to machine learning in the tasks of working with texts.
- Sergey Nikolenko, HSE: “Deep Architectures for Natural Language Processing”
- Mike Schuster, Google Brain: "Machine Learning behind Google Translate"
- Moderator: Alexey Natekin, Open Data Science, DM Labs
First negotiation
12:05 -
“Free microphone” . An opportunity to talk about your professional activity within 2 minutes. Leading sections: Alexander Notchenko, IITP; Irina Goloshchapova, TsMAKP.
13:50 -
"ML-training .
" Analysis of solutions for online contests from the winners of recent competitions.
- Evgeny Patekh, freelancer: Analysis of the decision of the competition Santander (7th place)
- Dmitry Zagorulkin, Mikhail Gorkunov, Sbertekh: Analysis of the decision of the Sberbank contest on boosters (1st place)
- Leading sections: Sergey Savvateev, Emil Kayumov, Yandex
16:30 -
"NLP-tools .
" Surveys and master classes on modern methods of text analysis and processing and practical problem solving in NLP.
- Anna Potapenko, HSE: “Vector Representations of Words and Documents”
- Alexander Romanenko, MIPT: “BigARTM workshop”
- Moderator: Konstantin Vorontsov, MIPT, HSE, Yandex
18:20 -
“Scraping and data collection” . What tools can I extract?
- Mikhail Korobov, Konstantin Lopukhin, Scrapinghub: “How to collect data from the Internet in 2 parts”
- Dmitry Sergeev, Zeptolab: "Writing spiders, or what to do when you are calculated by IP"
- Lead section: Mikhail Korobov, Scrapinghub

Program for February 12
Atrium
12:00 -
"Data & Science" . How to use machine learning in various scientific fields?
- Oleg Bartunov, GAISH-MSU: “Scientific challenges to data analysis”
- Andrei Ustyuzhanin, Yandex: “Learning machine learning on the tasks of the Large Hadron Collider”
- Lead section: Daria Kosovets, Yandex
13:50 -
“Make ML great again!” . Analysis of famous myths, prejudices and bad practices, swept on the wave of popularity of DS, ML, BigData and AI. A series of 5 short speeches:
- Vyacheslav Baranov, MyMind
- Yuri Kashnitsky, Mail.Ru Group
- Mikhail Trofimov, ML Works
- Alexey Ozerin, DeepHack Lab
- Pavel Nesterov, freelance
- Moderator: Alexey Natekin, Open Data Science, DM Labs
15:20 - break
16:30 -
“Artistic Intelligence” . Reviews and demonstrations of the latest research and development in the machine transformation of media content.
- Dmitry Ulyanov, Yandex, Skoltech: “Neural style transfer for music”
- Ivan Yamshchikov, Yandex: “Neural networks and creativity. Who is to blame and where is the line? ”
- Moderator: Sergei Ovcharenko, NTechLab
18:20 -
DeepHack Final . The finale of the international hackathon
DeepHack . Agents-decisions of hackathon finalists will compete with each other on the big screen. Moderator of the section: Mikhail Burtsev, MIPT, DeepHack Lab.
First negotiation
12:00 -
Pitch session . Presentation of the projects of the conference participants. 1 slide, 4 minutes. If you want to participate, send us the slides by
mail . Moderator: Roman Degtyarev, Quantum Brains
13:50 -
“ML in science” . In the continuation of the Data & Science section, we will examine case studies, tools and solutions with machine learning in science.
- Alexey Osadchy, HSE: “Neuroscience Tasks, Neurohacaton Analysis”
- Elena Ericheva, BrainGarden: “ML vs Oncology: the tasks of design and optimization of therapeutic proteins”
- Leonid Danilchenko, Game Insight: "The Path from the Economy to Data Science"
- Moderator: Ivan Drokin, Machine Learning Consultant
15:20 - break
16:30 -
“ML Failconf” . The speakers will disassemble cases in the section, when machine learning turned out to be in the role of a microscope with which nails are hammered.
- Ilya Saitanov, DSM Group: “Fighting emissions, deadlines and windmills”
- Andrey Chertok, Sbertech: “RL and a shy market maker”
- Dmitry Bugaychenko, Mail.Ru Group: “Fedor score vs Machine Learning”
- Nikolay Markov, Aligned Research: “Data Analysis on the Command Line”
- Moderator: Peter Yermakov, Mail.Ru Group
18:20 -
Speed dating . On the eve of February 14, in the format of a classic speed dating, participants will be able to fix a pair for themselves. Participants registered for the conference will receive an invitation in a separate letter. Leading sections: Aida Fazylova, XOR.
Come, it will be interesting! Address: Leningradsky Prospect, 39, p. 79. Participation is free. Pre-
registration is required. Answers to frequently asked questions on the
link . Live stream will be available
here .
PS: We are planning to print memorable T-shirts. If you are interested in buying one, please fill in a
separate form .
