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