Rogier van der Geer, Vincent D. Warmerdam – Playground of Evol Adventures
Michał Łopuszyński – Debugging machine learning
Michał Jamroż – Image generation with deep learning
Przemysław Chojecki – DeepAlgebra –
Łukasz Kobyliński, Michał Wasiluk – Natural language processing challenges
Sebastian Dziadzio – Natural language processing (for the impatient)
Marcin Chochowski – Recent advances in neural machine translation
Jakub Czakon – 10 things you really should know about jupyter notebooks
Keynote Katharine Jarmul – Towards interpretable reliable models
Keynote Jarek Kuśmierek – BigData and [email protected]
Piotr Migdał – Teaching Machine Learning
Bogumił Kamiński – First steps with Julia for numerical computing
Artur Suchwałko, Tomasz Melcer – Maxing out supervised learning
Mateusz Susik – Can one do better than XGBoost?
Krzysztof Kotowski – Advances in 2D/3D image segmentation using CNNS
Christian Staudt – The Python ecosystem for Data Science: A guided tour
Szymon Warda – You are using the wrong databases!
Pawel Gora – TensorTraffic –
Szymon Matejczyk – Learning to solve Rubik's cube
Joanna Materzyńska – Building a Gesture Recognition System using Deep Learning
Mikołaj Sędek, Rafał Wojdan – Use of word embedding algorithms and siamese recurrent neural networks
Łukasz Dziekan, Michał Stolarczyk – Mining articles for practical insight for content creation
Adam Bielski – Deep neural networks in social media content analysis
Juan De Dios Santos Rivera – Why does my girlfriend dislike my music?
Jelte Hoekstra – Saving Santa's back with data
Lightning Talk 1: A Python discovery engine
Maciej Gryka – Despicable machines: how computers can be assholes
Laurent Picard – Conduct a computational experiment in 10 minutes
Michał Kudelski – Data science making real money: a selection of interesting use cases
Jan Zyśko, Magdalena Kalbarczyk – Developing Data Science products
Tomasz Bartczak – Data and test driven product development with Airflow, Jupyter and (Py)Spark
Marcel Krčah – From a model to production like a Pro: Software-engineering Best-Practices
Keynote Cameron Davidson-Pilon – Building People Analytics
Keynote Radim Řehůřek – Winning together: Bridging the gap between academia and industry
James Powell – Lightning Talk 3
Vincent Warmerdam – Lightning Talk 5
Lightning Talk 4: Preserve window layout in PyCharm
Lightning Talk 6: Code or die
towards data driven childbirth assessment – Lightning Talk 2: Fighting Friedman's Curve
Mariusz Strzelecki – Safer roads with Kafka & Python
Piotr Grzesik – Virtual environments and dependency management in Python
Julia Bazińska – Exploring word2vec vector space
Justin Shenk – How to visualize neural network parameters and activity
Dominik Lewy – ANN Activation function –
Adam Paszke – PyTorch a framework for research of dynamic deep learning models
ThuyLe – Sport analysis with Python
James Powell – Top to down, left to right (Surprise talk)
Jesús Martos, Alejandro Saez Mollejo – Analysing flight safety data with Python
Kornel Lewandowski – Masking personal data in medical documents
Waren Long – Analyzing GitHub, how developers change programming languages over time
Marc Garcia – Bayesian A/B Testing
PyData Warsaw 2017
51 Talks