29:16

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

PyData

30:39

Debugging machine learning - Michał Łopuszyński

PyData

29:26

Image generation with deep learning - Michał Jamroż

PyData

22:50

DeepAlgebra - an outline - Przemysław Chojecki

PyData

29:57

Natural language processing challenges - Łukasz Kobyliński, Michał Wasiluk

PyData

29:13

Natural language processing (for the impatient) - Sebastian Dziadzio

PyData

27:08

Recent advances in neural machine translation - Marcin Chochowski

PyData

27:15

Jakub Czakon: 10 things you should know about Jupyter Notebooks | PyData Warsaw 2017

PyData

43:26

Towards interpretable reliable models - Keynote Katharine Jarmul

PyData

39:21

BigData and ML@Google - Keynote Jarek Kuśmierek

PyData

6:57

Opening Notes PyData Warsaw 2017

PyData

36:45

Teaching Machine Learning - Piotr Migdał

PyData

39:14

First steps with Julia for numerical computing - Bogumił Kamiński

PyData

31:29

Maxing out supervised learning - Artur Suchwałko, Tomasz Melcer

PyData

23:47

Can one do better than XGBoost? - Mateusz Susik

PyData

32:33

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

PyData

25:41

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

PyData

40:35

You are using the wrong databases! - Szymon Warda

PyData

31:19

TensorTraffic - traffic prediction using machine learning - Pawel Gora

PyData

29:03

Learning to solve Rubik's cube - Szymon Matejczyk

PyData

27:17

Building a Gesture Recognition System using Deep Learning - Joanna Materzyńska

PyData

31:05

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

PyData

34:43

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

PyData

24:39

Deep neural networks in social media content analysis - Adam Bielski

PyData

29:41

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

PyData

20:12

Saving Santa's back with data - Jelte Hoekstra

PyData

5:04

Lightning Talk 1: A Python discovery engine

PyData

3:48

Closing Notes PyData Warsaw 2017

PyData

30:38

Despicable machines: how computers can be assholes - Maciej Gryka

PyData

32:28

Conduct a computational experiment in 10 minutes - Laurent Picard

PyData

31:28

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

PyData

28:23

Developing Data Science products - Jan Zyśko, Magdalena Kalbarczyk

PyData

21:00

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

PyData

31:32

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

PyData

39:05

Building People Analytics - Keynote Cameron Davidson-Pilon

PyData

39:39

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

PyData

7:56

Lightning Talk 3 - James Powell

PyData

9:19

Lightning Talk 5 - Vincent Warmerdam

PyData

3:10

Lightning Talk 4: Preserve window layout in PyCharm

PyData

10:05

Lightning Talk 6: Code or die

PyData

5:36

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

PyData

35:02

Safer roads with Kafka & Python - Mariusz Strzelecki

PyData

30:04

Virtual environments and dependency management in Python - Piotr Grzesik

PyData

31:32

Exploring word2vec vector space - Julia Bazińska

PyData

23:28

How to visualize neural network parameters and activity - Justin Shenk

PyData

25:14

ANN Activation function - comparision - Dominik Lewy

PyData

34:04

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

PyData

31:46

Sport analysis with Python - ThuyLe

PyData

43:49

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

PyData

32:08

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

PyData

31:38

Masking personal data in medical documents - Kornel Lewandowski

PyData

20:18

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

PyData

35:54

Bayesian A/B Testing - Marc Garcia

PyData