The most complicated algorithms, revolutionary inventions, and technologies all consist of hundreds of the simplest components that use create synergy together. The ability to understand and create such projects depends on decomposition and simplification. On March 14 at the Data Science UA Conference, we will explore in details the experience of engineers, product managers, and investors in data science products.
Mohamed-Achref has a background in computer science and engineering. He has been working on deep learning applications for car diagnostic and visual quality control.
The talk would deep dive into technical aspects such as loss optimization strategies, mathematical properties, satisficing metrics, hyper-parameter tuning, ML pipeline components in detail, application for car diagnostic and image classification with neural networks.
Borys graduated from the Chair of Physical and Biomedical Electronics of the KPI with honors in 2007 on the specialty “Physical and Biomedical Electronics”. He defended his dissertation at the Faculty of Electronics in the KPI in 2012.
Borys works CTO at Scalarr. And also has his startup – Fino (financial assistant).
He will tell why ML model training is not the main task for model deployment to production.
Also go through the Kubeflow setup and pipelines maintain.
And he will show a real case of how it changes the philosophy of ML team and how they write more standard code for production deployment.
Alexander has sufficient experience in the field of sound and computer vision, classical machine learning, particularly deep learning. Alexander used to teach machine learning in LITS Kharkiv and held workshops at CS@UCU, KWSchool on Data Analysis.
There is a book «45 tattoos of a manager» from M. Batyrev. This great book consists of 45 stories, 45 lessons learned, 45 «tattoos» of a manager. Alexandr say that he is not Maxim Batyrev, and identify himself with a CV Engineer more than with Project Manager. That's why he is going to have only 15 tattoos. 15 tattoos of Computer Vision engineer and Computer Vision department lead.
His talk will consist of 15 stories about how to build a great product based on computer vision, data, production, overfitting, SDLC, QA, etc.
Vladislav studied at the KPI at the Faculty of Informatics and Computer Engineering, where he defended a diploma about Neural Architecture Search based on Reinforcement Learning.
He’s currently working on creating efficient neural representations of scalar fields. On previous projects, he worked on Computer Vision problems (mostly generative models), NLP and time series analysis.
Today meshes are used ubiquitously to represent 3D shapes. They’ve been around for a long time and several optimizations have been developed to rasterize them efficiently. However, they still have a few drawbacks which limit their possible applications.
NeoRender is a company, which strives to create a new way to represent 3D shapes, which will be free of such drawbacks. On this talk, you’ll get a glimpse of what NeoRender doing on the example of a rigged (animable) 3D model of humans call SMPL. You will learn how to convert textured 3D meshes to neural network representations, which then can be used to approximate physical interactions efficiently and also rendered in a variety of poses.
ML Engineer with a wide range of expertise in data science engineering who participated in Recommendation Systems, Computer Vision, Big Data projects. Holds two master degrees in Theory of Probability and Mathematical Statistics, and Economics. Has a highly positive attitude towards applying ML and Data Science in the most suitable way. He has a lot of interests in Sciences, Philosophy, Sports, and combines it in everyday work.
Tracking objects in Sports requires specific complex solutions: how to combine multiple NNs in one modular system to solve different tasks like object detection, classification, clusterization, etc. How to incorporate domain knowledge to increase the accuracy of tracking. Which classical video processing methods allow improving tracking. How to test separated modules and systems in general. Examples of video from football games will be presented.
Yuriy Guts is a Machine Learning Engineer at DataRobot with over 10 years of industry experience in data science and software architecture. His primary interests are productionalizing data science, automated machine learning, time series forecasting, and processing spoken and written language. He teaches AI and ML at UCU, competes on Kaggle, and has led multiple international data science and engineering teams.
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Where and when the conference is going to be held?
The conference will be held on March 14 from 10:00 to 19:00 in the Oasis concert hall. Kyiv, street. Lipkovskogo, 1A.
The registration starts at 9:00.
The nearest metro station is Vokzalna.
Is there any ticket discount?
We provide a 25% ticket discount for students and teachers
In order to get a discount promo code, send a photo of a student card or a document confirming that you are working as a teacher to the firstname.lastname@example.org. We will send you the promo code, that has to be applied when buying the ticket.
5% — from 2 tickets, 7% — from 3 tickets, 10%— from 5 tickets. Choose the desired number of tickets on the ticket sales page. The discount will apply automatically.
Please note that discount are not applied to ‘First 50’ price.
How to get an invoice for the ticket purchase?
To purchase tickets with cashless payment, send an e-mail to
email@example.com with the necessary information:
– The legal name of the company
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– Requisites and number of tickets
5% — from 2 tickets, 7% — from 3 tickets, 10%— from 5 tickets.
25% ticket discount for students and teachers.
How can I get information about the topic and speakers?
You can learn more about the subject and the biography by clicking on the photo of the speaker.
Workshops. Which software to download?
Pre-register for workshops is not required. You can find out the theme of the workshop and needed software by clicking on the photo of the speaker. There will be 2 workshops at the conference.
To participate, you must have your own laptop.
Coffee breaks and lunch
During the conference there will be 2 coffee breaks and a lunch with vegetarian and meat meals options.