Speakers

Name Presentation(s)
Adam Witkowski Predicting flight compensation - a case study
Adrian Boguszewski In the service of the history. AI in archivistics.
Amit Beka The NLU Orchestra
Artur Bujak How we personalized onet.pl with multi-armed bandits
Chris Sidebottom TDD shouldn't be TDDious
Cyrus Vahid Anyone can Build Great Deep Learning Applications - Deep Numpy
Dean Langsam Disease Modeling with Scipy and PyMC
Dominik Rusiecki How we personalized onet.pl with multi-armed bandits
Dr. Clément Walter keras-fsl: Fast model builder for production ready few shot learning algorithms
Filip Geppert How to effectively extract image features – let’s play with OpenCV API!
Harmeet Singh Accelerating data science workflow on a GPU using RAPIDS
Inga Strumke Machine Learning can't do the thinking
Ioana Gherman Geospatial analysis made easy with PostGIS and Geoalchemy
Jacek Komorowski Football video analysis using Deep Learning
Jakub Czakon Evaluation Metrics for Binary Classification: The Ultimate Guide
Jakub Kubajek Unsupervised learning for news summarisation
Jakub Nowacki How to manage data-related projects and not fail (too often)?
Jarek Potiuk What's coming in Apache Airflow 2.0
Joanna Piwko Sentiment analysis of tweets in Polish language using deep learning
Krystian Zieliński TrashAsistant: A kivy App, which uses Deep Neural Networks, for helping trash segregation
Malte Pietsch Transfer Learning - Entering a new era in NLP
Marcin Kowiel How to numerically represent semi-structured log data for anomaly detection?
Marcin Tuszyński Visual Search @ allegro.pl
Marina Volkova Machine Learning Spacecraft Designing for Cybersecurity
Martyna Urbanek-Trzeciak ML model from an idea to production with the help of Python
Mateusz Opala Reproducible Machine Learning
Mateusz Otmianowski How to efficiently model learner’s knowledge with recurrent neural networks
Mia Polovina Analysing Russian Troll Tweets data with Python
Michał Jamroż Posterior Collapse in Deep Generative models
Michał Kierzynka Transfer learning for image recognition in healthcare industry
Michal Sulkiewicz AWS Cloud data collecting with microcontrollers and MicroPython
Michel Voss Detection of solar panels based on aerial images of the city of Poznań using deep neural networks
Mikołaj Olszewski Straightforward introduction to Deep Learning, Straightforward introduction to Deep Learning
Nicolas Pierre Geospatial analysis made easy with PostGIS and Geoalchemy
Olga Petrova Machine Learning on big data in security applications
Olgun AYDIN TrashAsistant: A kivy App, which uses Deep Neural Networks, for helping trash segregation
Pawel Cyrta Sound Modelling - parametric methods and deep learning representations to create and shape audio
Przemek Chrabka How to structure PySpark application
Radoslaw Bialobrzeski Learning to rank with the Transformer
Robert Kostrzewski Modern Machine Learning flow with Quilt and Polyaxon
Romeo Kienzler Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource sta
Tomasz Bartczak Learning to rank with the Transformer
Tomasz Dziopa Generative Text Modelling: Scratching the surface
Varun Kochar Automation: Build A Training Pipeline
Vince Madai The Ethics of Artificial Intelligence - What developers should know
Yury Kasimov Machine Learning on big data in security applications
Zuzanna Kunik Command line language – where NLP and cyber security meets
Žygimantas Medelis Adding Narrative to BI Dashboards with Natural Language Generation

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