Data Fest is an informal conference that unites researchers, engineers and other data science folks.
No bullshit! Each speaker is a mature practitioner.
Broad coverage of topics from non-overlapping domains
Not just conference, but also a great Data Fest was held at Belarus Hi-Tech Park.
A short speech by DataFest partners and some organization announces.
Alex
Alex Natekin, Dictator at ODS.ai and Founder at DM Labs
Warming up speeche by ODS.ai firekeeper
Eugene
Coffee break
Fedor
Fedor Chervinskii, Research Engineer at Yandex
Overview of the technology stack inside a modern autonomous vehicle with focus on perception. Different approaches and problem formulations; deep learning for self-driving cars. Mediated perception: semantic segmentation, object detection, depth estimation. Training data: real and simulated
you!
The aim of this brief session is to expand your data science connections. It is an excellent opportunity for everybody to present themselves to the audience and say a couple of words on their projects and interests related to data science. The presentation format is a two-minute talk and a one-minute question-answer part.
Lunch break
Artur
Artur Kuzin, CV Analyst at Avito
An overview of objects segmentation approaches on satellite images from Kaggle competition (Dstl Satellite Imagery Feature Detection). The speech will be dedicated to hacks and tricks of training and design deep convolutional neural networks collected from top-5 teams.
Alexey
Coffee break
Anton
Anton Lebedevich, independent contractor
Every textbook that has a time series chapter mentions ARIMA so it became a goto model for forecasting. But in real world it struggles with missing data, public holidays, non-stationarity, several steps ahead predictions. Anton will show better alternatives to ARIMA for long term forecasting.
Mike
Mike Korobov, Software Engineer at ScrapingHub
ELI5 is a Python library which allows to visualize and debug various Machine Learning models. It has built-in support for several ML frameworks and provides a way to explain black-box models. Mike is ELI5 core developer who will tell us more how this magic works.
Coffee break
Petr
Petr Ermakov, Data Science and Big Data Team Lead at Mail.ru
In his speech he will overview the long way from the proof of concept models to highload production maintenance.
Vitalii
Vitalii Radchenko, Data Scientist at Ciklum
Sentiment analysis is a very interesting task where there are many techniques which work well. We will cover data preprocessing, traditional ML, word- and char-based neural networks. Moreover, you will find out different tricks how to deal with small datasets, dataset absence and transfer learning.
Beer party at Juno for active participants
The FAQ section is incomplete but is being updated on a regular basis
Do I have to register to attend Data Fest?
You bet! If there are too many registrations, we will have to select N (best or random) candidates based on their questionnaires to be sure that participation will bring you maximum benefits.
Are there any registration fees?
DataFest is free for all participants. There are no registration charges. But you have to register.
What if I got a refusal?
Unfortunately, you will not be able to attend the event onsite. Still, don't be upset — we will have all our presentations broadcasted! Moreover, feel free to join in live discussion via the Open Data Science Slack channels
When will I receive an event invitation?
It will take some time for organizers to review all applications, but the process can be long, so please be patient. The first half of the invitations will be sent two weeks before the event and the rest approximately one week before the event start date.
Will the conference materials be available later?
Yes! The presentation videos and slides will be fully available in 3-4 weeks.
So, you said all your speeches will be broadcasted?
Yes, we plan to broadcast the speeches. A live webcast link will be available on our site.
If there are not enough seats, what will be the application selection process?
The main criteria we rely on are your experience in data science, as well as your motivation to attend the event.
I still have questions!
Contact a responsible guy via email me [at] arseny.info
