Conferences / PyData
PyData Warsaw 2019
Dec 12–14, 2019 · Copernicus Science Centre (talks, 12-13 Dec); Sages office, Nowogrodzka 62c (tutorials, 14 Dec), Warsaw, Poland
- Conference
- PyData Data science & ML
- Dates
- Dec 12, 2019 – Dec 14, 2019
- Venue
- Copernicus Science Centre (talks, 12-13 Dec); Sages office, Nowogrodzka 62c (tutorials, 14 Dec)
- Place
- Warsaw, Poland
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 10 sponsors · 47 speaker appearances
- Notes
- General sessions 12-13 December at the Copernicus Science Centre, tutorials 14 December at the Sages office. Speakers: all sessions on the conference schedule; affiliations parsed from speaker-profile bios (keynote affiliations from the keynotes page). Ticket prices not found. The 2019 site links to a "PyData Warsaw 2020" page (now 404); no evidence found that a 2020 conference took place.
Ticket prices
No ticket prices recorded
Sponsors 10
Platinum 1
Gold 1
Silver 1
Bronze 1
Speakers and talks 47
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Inga Strumke | — | Keynote | Machine Learning can't do the thinking | — |
| Malte Pietsch | deepset | Keynote | Transfer Learning - Entering a new era in NLP | — |
| Romeo Kienzler | IBM | Keynote | Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource sta | — |
| Vince Madai | Charité | Keynote | The Ethics of Artificial Intelligence - What developers should know | — |
| Adam Witkowski | — | Talk | Predicting flight compensation - a case study | — |
| Adrian Boguszewski | — | Talk | In the service of the history. AI in archivistics. | — |
| Amit Beka | Booking.com | Talk | The NLU Orchestra | — |
| Artur Bujak | Ringier Axel Springer Polska | Talk | How we personalized onet.pl with multi-armed bandits | — |
| Chris Sidebottom | BBC | Talk | TDD shouldn't be TDDious | — |
| Cyrus Vahid | Amazon Web Services | Talk | Anyone can Build Great Deep Learning Applications - Deep Numpy | — |
| Dean Langsam | SentinelOne | Talk | Disease Modeling with Scipy and PyMC | — |
| Dominik Rusiecki | Ringier Axel Springer Polska | Talk | How we personalized onet.pl with multi-armed bandits | — |
| Dr. Clément Walter | — | Talk | keras-fsl: Fast model builder for production ready few shot learning algorithms | — |
| Filip Geppert | — | Talk | How to effectively extract image features – let’s play with OpenCV API! | — |
| Ioana Gherman | Casavo | Talk | Geospatial analysis made easy with PostGIS and Geoalchemy | — |
| Jacek Komorowski | Warsaw University of Technology | Talk | Football video analysis using Deep Learning | — |
| Jakub Czakon | Neptune.ml | Talk | Evaluation Metrics for Binary Classification: The Ultimate Guide | — |
| Jakub Kubajek | Warsaw School of Economics | Talk | Unsupervised learning for news summarisation | — |
| Jakub Nowacki | — | Talk | How to manage data-related projects and not fail (too often)? | — |
| Jarek Potiuk | Polidea | Talk | What's coming in Apache Airflow 2.0 | — |
| Joanna Piwko | — | Talk | Sentiment analysis of tweets in Polish language using deep learning | — |
| Krystian Zieliński | — | Talk | TrashAsistant: A kivy App, which uses Deep Neural Networks, for helping trash segregation | — |
| Marcin Kowiel | F-Secure | Talk | How to numerically represent semi-structured log data for anomaly detection? | — |
| Marcin Tuszyński | Allegro | Talk | Visual Search @ allegro.pl | — |
| Marina Volkova | — | Talk | Machine Learning Spacecraft Designing for Cybersecurity | — |
| Martyna Urbanek-Trzeciak | Fandom | Talk | ML model from an idea to production with the help of Python | — |
| Mateusz Opala | Netguru | Talk | Reproducible Machine Learning | — |
| Mateusz Otmianowski | Pearson | Talk | How to efficiently model learner’s knowledge with recurrent neural networks | — |
| Mia Polovina | — | Talk | Analysing Russian Troll Tweets data with Python | — |
| Michał Jamroż | AGH University of Science and Technology | Talk | Posterior Collapse in Deep Generative models | — |
| Michał Kierzynka | Roche | Talk | Transfer learning for image recognition in healthcare industry | — |
| Michal Sulkiewicz | — | Tutorial | AWS Cloud data collecting with microcontrollers and MicroPython | — |
| Michel Voss | — | Talk | Detection of solar panels based on aerial images of the city of Poznań using deep neural networks | — |
| Mikołaj Olszewski | — | Tutorial | Straightforward introduction to Deep Learning | — |
| Nicolas Pierre | — | Talk | Geospatial analysis made easy with PostGIS and Geoalchemy | — |
| Olga Petrova | — | Talk | Machine Learning on big data in security applications | — |
| Olgun AYDIN | — | Talk | TrashAsistant: A kivy App, which uses Deep Neural Networks, for helping trash segregation | — |
| Pawel Cyrta | rev.io | Talk | Sound Modelling - parametric methods and deep learning representations to create and shape audio | — |
| Przemek Chrabka | MarketFinance | Talk | How to structure PySpark application | — |
| Radoslaw Bialobrzeski | Allegro | Talk | Learning to rank with the Transformer | — |
| Robert Kostrzewski | — | Talk | Modern Machine Learning flow with Quilt and Polyaxon | — |
| Tomasz Bartczak | Allegro | Talk | Learning to rank with the Transformer | — |
| Tomasz Dziopa | Appsilon Data Science | Talk | Generative Text Modelling: Scratching the surface | — |
| Varun Kochar | Episource | Talk | Automation: Build A Training Pipeline | — |
| Yury Kasimov | — | Talk | Machine Learning on big data in security applications | — |
| Zuzanna Kunik | F-Secure | Talk | Command line language – where NLP and cyber security meets | — |
| Žygimantas Medelis | — | Talk | Adding Narrative to BI Dashboards with Natural Language Generation | — |