• PyData Warsaw 2019 event website
• @PyDataWarsaw Twitter channel
• Meetup website
• Video:
  • PDWC 2019 Showreel

Feel invited to Pull Request with link to slides or the project website.

• The Ethics of Artificial Intelligence - What developers should know - Vince Madai
• Trusted AI – Building Reproducible, Unbiased and Robust AI Pipelines using the python OpenSource sta - Romeo Kienzler
• Transfer Learning - Entering a new era in NLP - Malte Pietsch
• Machine Learning can't do the thinking - Inga Strumke

• Disease Modeling with Scipy and PyMC - Dean Langsam
• Transfer learning for image recognition in healthcare industry - Michał Kierzynka
• Geospatial analysis made easy with PostGIS and Geoalchemy - Nicolas Pierre
• The NLU Orchestra - Amit Beka
• keras-fsl: Fast model builder for production ready few shot learning algorithms - Dr. Clément Walter
• How to structure PySpark application - Przemek Chrabka
• Reproducible Machine Learning - Mateusz Opala
• How to numerically represent semi-structured log data for anomaly detection? - Marcin Kowiel
• Modern Machine Learning flow with Quilt and Polyaxon - Robert Kostrzewski
• TrashAsistant: A kivy App, which uses Deep Neural Networks, for helping trash segregation - Olgun AYDIN
• Sound Modelling - parametric methods and deep learning representations to create and shape audio - Pawel Cyrta
• Automation: Build A Training Pipeline - Varun Kochar
• Posterior Collapse in Deep Generative models - Michał Jamroż
• Generative Text Modelling: Scratching the surface - Tomasz Dziopa
• ML model from an idea to production with the help of Python - Martyna Urbanek-Trzeciak
• Learning to rank with the Transformer - Tomasz Bartczak
• In the service of the history. AI in archivistics. - Adrian Boguszewski
• TDD shouldn't be TDDious - Chris Sidebottom
• Analysing Russian Troll Tweets data with Python - Mia Polovina
• What's coming in Apache Airflow 2.0 - Jarek Potiuk
• Unsupervised learning for news summarisation - Jakub Kubajek

• Anyone can Build Great Deep Learning Applications - Deep Numpy - Cyrus Vahid
• Command line language – where NLP and cyber security meets - Zuzanna Kunik
• How we personalized onet.pl with multi-armed bandits - Artur Bujak
• How to manage data-related projects and not fail (too often)? - Jakub Nowacki
• How to effectively extract image features – let’s play with OpenCV API! - Filip Geppert
• How to efficiently model learner’s knowledge with recurrent neural networks - Mateusz Otmianowski
• Visual Search @ allegro.pl - Marcin Tuszyński
• Predicting flight compensation - a case study - Adam Witkowski
• Sentiment analysis of tweets in Polish language using deep learning - Joanna Piwko
• Evaluation Metrics for Binary Classification: The Ultimate Guide - Jakub Czakon
• Machine Learning on big data in security applications - Yury Kasimov
• Machine Learning Spacecraft Designing for Cybersecurity - Marina Volkova
• Football video analysis using Deep Learning - Jacek Komorowski
• Adding Narrative to BI Dashboards with Natural Language Generation - Žygimantas Medelis
• Detection of solar panels based on aerial images of the city of Poznań using deep neural networks - Michel Voss

• Straightforward introduction to Deep Learning - Mikołaj Olszewski
• AWS Cloud data collecting with microcontrollers and MicroPython - Michal Sulkiewicz

Credits: Pafnucy