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Data Science fwdays'19
Conference is devoted to the Data Science
7 September 2019
Program
Mercure Congress Hall, 4 floor
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Data Science fwdays'19
Speakers
Program
Venue
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Speakers
Oleksander Krakovetskyi
СЕО @ DevRain
Explaining a Machine Learning blackbox
Thomas Wolf
Hugging Face Inc.
Transfer learning in NLP
Natural Language Processing [Discussion]
Braden Hancock
Stanford University
Programmatically creating and managing training data with Snorkel
Natural Language Processing [Discussion]
Kyryl Truskovskyi
BorealisAI
Practical Few-Shot learning
Computer vision [Discussion]
Marianna Diachuk
Women Who Code
Applying deployment oriented mindset for building Machine Learning models
Valeriia Lakusta
Grammarly
Feature engineering for abusive language detection for the Ukrainian language on Twitter
Vladislav Rosov
Lamaita
Data-driven solutions in engineering
Taras Sereda
VocalicsAI
Waveglow. Generative modeling for audio synthesis
Evgen Terpil
YouScan
Who is Data Scientist and how to become one? [Discussion]
OCR in the Wild World of Social Media
Volodymyr Kubytskyi
LUN
Who is Data Scientist and how to become one? [Discussion]
Taras Lehinevych
Rails Reactor
Shadows Generation in the Wild
Who is Data Scientist and how to become one? [Discussion]
Denys Kovalenko
Bolt
Scaling Data Science at Bolt
Yehor Morylov
Limpid Armor
How we built safety violations detection system
Oleksii Moskalenko
Wix
Continuous Delivery of ML Pipelines to Production
Ian Tsybulkin
Bldbox
Who is Data Scientist and how to become one? [Discussion]
Alex Lazarev
Head of Research
Computer vision [Discussion]
Igor Krashenyi
PiñataFarms
Computer vision [Discussion]
Oleksii Sliusarenko
Deloitte
Who is Data Scientist and how to become one? [Discussion]
Alexander Onbysh
Head of ML Pipelines
Computer vision [Discussion]
Oles Petriv
NeoCortext&VideoGorillas
Computer vision [Discussion]
Maksym Bevza
Grammarly
Natural Language Processing [Discussion]
Vitaliy Radchenko
Scorum AI
Natural Language Processing [Discussion]
Sergey Kuprienko
Ring Ukraine
Computer vision [Discussion]
Program
Track A
Track B
DS Discussions
09:30
Registration & morning tea/coffee
1 hour
10:30
Opening
10 min
10:40
Explaining a Machine Learning blackbox
[Generic][ukr]
Oleksander Krakovetskyi
DevRain
Shadows Generation in the Wild
[CV][ukr]
Taras Lehinevych
Rails Reactor
11:20
Coffee-break
20 min
11:40
Feature engineering for abusive language detection for the Ukrainian language on Twitter
[NLP][ru]
Valeriia Lakusta
Grammarly
Practical Few-Shot Learning
[CV][ru]
Kyryl Truskovskyi
Neuromation
Discussion: Who is Data Scientist and how to become one?
Moderator: Ian Tsybulkin
Bldbox
12:20
Break
10 min
12:30
Applying deployment oriented mindset for building Machine Learning models
[Generic][eng]
Marianna Diachuk
Women Who Code
Waveglow. Generative modeling for audio synthesis
[Audio][ru]
Taras Sereda
Researcher
13:10
Lunch
40 min
13:50
Panel discussion "NLP"
Moderator: Vitaliy Radchenko
YouScan
40 min
14:30
Scaling Data Science at Bolt
[Generic][eng]
Denys Kovalenko
Bolt
OCR in the Wild World of Social Media
[CV][ru]
Evgen Terpil
YouScan
15:10
Break
10 min
15:20
Programmatically creating and managing training data with Snorkel
[Generic][eng]
Braden Hancock
Stanford University
Continuous Delivery of ML Pipelines to Production
[Generic][ru]
Oleksii Moskalenko
Wix
Discussion: Computer Vision
Moderator: Alex Lazarev
Ring Ukraine
16:00
Break
10 min
16:10
Data-driven solutions in engineering
[Generic][ru]
Vladislav Rosov
Lamaita
How we built safety violations detection system
[CV][ru]
Yehor Morylov
Limpid Armor
16:50
Coffee-break, prize raffle
30 min
17:20
Transfer learning in NLP
[NLP][eng]
Thomas Wolf
HuggingFace Inc.
18:00
Afterparty
Conference in figures
520
minutes of talks
13
speakers
400
participants
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Program Committee
Oleksandr Lapshyn
Apheris AI Gmbh
Evgen Terpil
YouScan
Venue
Kyiv, Mercure Congress Hall, 4 floor
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