Scientific workshop
'Big Data Analytics'
Each Wednesday / 1 Pirogova str., room #5205
18:10 – 19:45
Scientific seminar is a way of continuous self-improvement in Data Analytics. This is an essential tool for networking and increasing your personal knowledge.
Next time, May 3:
Report on Frontiers of Massive Data Analysis. Chapter 9: Human Interaction With Data.
Konstantin Prokopchik
Report On Frontiers Of Massive Data Analysis. Chapter 4: Temporal Data And Real-Time Algoritms (2/2 real-time algoritms).
Frolov Ilja
Previous seminars:

Beloglazov D.;
Firsov A., Illarionov B.

AI In Music Composing;

Report on Frontiers of

Massive Data Analysis.

Artemiy Firsov

Report on Frontiers of

Massive Data Analysis.

Temporal Data And

Real-time Algorithms.

Viktor A. Kulikov (Ph.D.)

Deep Face Recognition.

Workshop permanent agenda:
New lectures from famous speakers, researching tools, success in competitions
1. Hinton's Brain, Sex and Drop Out
Cool technique invented to come through overfitting. Presented dropout with a brief mind mechanisms of work.
Real practice of CRISP-DM standard implementation in organisations.
3. Master's topics
Topics of master capstone projects are presented.
4. Results of the project P218
Really copetitive results in network traffic analysis, speech recognition, pattern recognition, image classification, natural language processing.
5. Siberian Data Scientists
Cutting edge research and collaborative projects initiatives discussed.
6. Design thinking tools
Cultural perspective involves identity of symbols. The uses of words that are related with the image, the use of heroes in the image, etc.
Seminar secretary
Evgeniy Pavlovskiy
PhD, Head of the Stream Data Analytics and Machine Learning laboratory, NSU
Evgeniy runs workshops for professionals and amateurs who are keen on new technoloies. The system's organazied in a way from simple to complecated. That is why everybody is able to manage it. The workshop caters to young designers, creators, and thinkers fascinated with and impassioned by their profession. With such a cadre of participants we advance our goal of promoting and enhancing the social value of design by creating a platform for debate, knowledge exchange, and experience building.

The workshop is structured within a studio environment so as to offer participants the opportunity to experiment with different design approaches and share their ideas with colleagues from around the world.
Big Data is a much more interesting thing than I realized before attending courses. Completely useful skills!
Victor Bryzgalov
You should go do something else wonderful, not dwell on it for too long. You can't connect the dots looking forward; you can only connect them looking backwards.
Kate Midlton
Creative director in DD agency
You can only connect them looking backwards. I think if you do something and it turns out pretty good, then you should go do something else wonderful, not dwell on it for too long.
Sarah Lewin
Founder of Pic Pen studio
Technological growth starts in minds. These seminars is the place where one can open his mind to Data Science. They widen the horizon upon data analytics, open view for the newest algorithms of data processing and are the chance to seek for answers within your work. I really like attending them as I get clear prospective of what challenges and results people made in the field of data analytics so far. I would suggest it to anyone: interested in becoming a Data Scientist, or those who is already working in that field.
Artem Firsov
Masters degree student of Big Data Analytics
Carefully manage list of attendee we will inform you on a new seminar immediately and unobtrusively.
Within one week after the application you will receive a confirmation email only if you are admitted. To be officially registered as a participant, you must pay the enrollment fee. A maximum of 20 participants will be accepted.
Contact with us
If you need to get in touch with us, feel free to send a note to or follow us on facebook and VK for more updates and details.
Photo courtesy of Sebastiaan ter Burg and Peter McConnochie /
Made on