10 things you really should know about jupyter notebooks - Jakub Czakon

Advances in 2D/3D image segmentation using CNNS - Krzysztof Kotowski

Analysing flight safety data with Python - Jesús Martos, Alejandro Saez Mollejo

Analyzing GitHub, how developers change programming languages over time - Waren Long

ANN Activation function - comparision - Dominik Lewy

Bayesian A/B Testing - Marc Garcia

BigData and ML@Google - Keynote Jarek Kuśmierek

Building a Gesture Recognition System using Deep Learning - Joanna Materzyńska

Building People Analytics - Keynote Cameron Davidson-Pilon

Can one do better than XGBoost? - Mateusz Susik

Closing Notes PyData Warsaw 2017

Conduct a computational experiment in 10 minutes - Laurent Picard

Data and test driven product development with Airflow, Jupyter and (Py)Spark - Tomasz Bartczak

Data science making real money: a selection of interesting use cases - Michał Kudelski

Debugging machine learning - Michał Łopuszyński

Deep neural networks in social media content analysis - Adam Bielski

DeepAlgebra - an outline - Przemysław Chojecki

Despicable machines: how computers can be assholes - Maciej Gryka

Developing Data Science products - Jan Zyśko, Magdalena Kalbarczyk

Exploring word2vec vector space - Julia Bazińska

First steps with Julia for numerical computing - Bogumił Kamiński

From a model to production like a Pro: Software-engineering Best-Practices - Marcel Krčah

How to visualize neural network parameters and activity - Justin Shenk

Image generation with deep learning - Michał Jamroż

Learning to solve Rubik's cube - Szymon Matejczyk

Lightning Talk 1: A Python discovery engine

Lightning Talk 2: Fighting Friedman's Curve - towards data driven childbirth assessment

Lightning Talk 3 - James Powell

Lightning Talk 4: Preserve window layout in PyCharm

Lightning Talk 5 - Vincent D. Warmerdam

Lightning Talk 6: Code or die

Masking personal data in medical documents - Kornel Lewandowski

Maxing out supervised learning - Artur Suchwałko, Tomasz Melcer

Mining articles for practical insight for content creation - Łukasz Dziekan, Michał Stolarczyk

Natural language processing challenges - Łukasz Kobyliński, Michał Wasiluk

Natural language processing (for the impatient) - Sebastian Dziadzio

Opening Notes PyData Warsaw 2017

Playground of Evol Adventures - Rogier van der Geer, Vincent D. Warmerdam

PyTorch a framework for research of dynamic deep learning models - Adam Paszke

Recent advances in neural machine translation - Marcin Chochowski

Safer roads with Kafka & Python - Mariusz Strzelecki

Saving Santa's back with data - Jelte Hoekstra

Sport analysis with Python - ThuyLe

Teaching Machine Learning - Piotr Migdał

TensorTraffic - traffic prediction using machine learning - Pawel Gora

The Python ecosystem for Data Science: A guided tour - Christian Staudt

Top to down, left to right (Surprise talk) - James Powell

Towards interpretable reliable models - Keynote Katharine Jarmul

Use of word embedding algorithms and siamese recurrent neural networks - Mikołaj Sędek, Rafał Wojdan

Virtual environments and dependency management in Python - Piotr Grzesik

Why does my girlfriend dislike my music? - Juan De Dios Santos Rivera

Winning together: Bridging the gap between academia and industry - Keynote Radim Řehůřek

You are using the wrong databases! - Szymon Warda