55:57

Ethics in Machine Learning Panel

PyData

32:39

Ethics in Machine Learning Panel Q&A

PyData

54:44

Verónica Valeros | Keynote - The Future of Cybersecurity Needs You, Here is Why.

PyData

46:02

Verónica Valeros - Keynote Q&A

PyData

58:32

Toby Walsh | Keynote - Are many of your worries about AI wrong?

PyData

41:36

Toby Walsh - Keynote Q&A

PyData

55:25

Barbara Plank | Keynote - Natural Language Processing: Challenges and Next Frontiers

PyData

30:58

Barbara Plank - Keynote Q&A

PyData

32:46

Radovan Kavicky - Data Science & Data Visualization in Python

PyData

1:26:55

Dr. Kristian Rother - Best Practices for Debugging

PyData

23:45

Daniele Rapati - Engage the Hyper-Python

PyData

37:36

Oliver Eberle - Where are we looking? Predicting human gaze using deep networks.

PyData

40:26

Lev Konstantinovskiy - Text similiarity with the next generation of word embeddings in Gensim

PyData

34:56

Robert Meyer - Analysing user comments with Doc2Vec and Machine Learning classification

PyData

35:45

Thomas Kober - Compositional distributional semantics for modelling natural language

PyData

29:56

Tom Bocklisch - Conversational AI: Building clever chatbots

PyData

38:37

David Soares Batista - Semi-Supervised Bootstrapping of Relationship Extractors

PyData

33:45

Abhishek Thakur - Is That a Duplicate Quora Question?

PyData

38:49

Nick Radcliffe - Developments in Test-Driven Data Analysis

PyData

45:05

Matti Lyra - Evaluating Topic Models

PyData

32:13

Tal Perry - A word is worth a thousand pictures: Convolutional methods for text

PyData

36:25

Miroslav Batchkarov - Gold standard data: lessons from the trenches

PyData

57:46

Adrin Jalali - The path between developing and serving machine learning models.

PyData

1:24:37

James Powell: Advanced Metaphors in Coding with Python | PyData Berlin 2017

PyData

1:44:00

Gerrit Gruben - Leveling up your Jupyter notebook skills

PyData

1:26:31

David Higgins, Robert Schwarz - Introduction to Julia for Scientific Computing and Data Science

PyData

1:17:26

Stephen Simmons - Pandas from the Inside / "Big Pandas"

PyData

1:24:29

Alexander Hendorf - Introduction to Data-Analysis with Pandas

PyData

48:26

Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim

PyData

25:48

Jonathan Ronen - Social Networks and Protest Participation: Evidence from 130 Million Twitter Users

PyData

36:36

Hendrik Heuer - Data Science for Digital Humanities: Extracting meaning from Images and Text

PyData

36:08

Roelof Pieters - AI assisted creativity

PyData

30:00

Aisha Bello - Spying on my Network for a Day: Data Analysis for Networks

PyData

37:48

Françoise Provencher - Biases are bugs: algorithm fairness and machine learning ethics

PyData

42:24

Andreas Dewes - Fairness and transparency in machine learning: Tools and techniques

PyData

38:04

Irina Vidal Migallon - Deep Learning for detection on a phone

PyData

37:50

Carlotta Schatten - Towards Pythonic Innovation in Recommender Systems

PyData

42:54

Florian Wilhelm, Arnab Dutta - “Which car fits my life?” - mobile.de’s approach to recommendations

PyData

35:35

Stefan Otte - On Bandits, Bayes, and swipes: gamification of search

PyData

33:12

Vaibhav Singh, Jaroslaw Szymczak - Machine Learning to moderate ads

PyData

32:09

Alexey Grigorev - Large Scale Vandalism Detection in Knowledge Bases

PyData

44:42

Ulrike Thalheim - Open Data Use Cases

PyData

39:17

Volodymyr (Vlad) Kazantsev - Clean Code in Jupyter notebooks, using Python

PyData

35:18

Héctor Andrade Loarca - Fast Multidimensional Signal Processing using Julia with Shearlab.jl

PyData

38:07

Emily Gorcenski - Polynomial Chaos: A technique for modeling uncertainty

PyData

39:47

Vincent D. Warmerdam - TNaaS - Tech Names as a Service

PyData

38:05

Ross Kippenbrock - Finding Lane Lines for Self Driving Cars

PyData

39:02

Rafael Schultze-Kraft - Building smart IoT applications with Python and Spark

PyData

38:03

Sirin Odrowski - Introduction to Search

PyData

37:23

Karolina Alexiou - Patterns for Collaboration between Data Scientists And Software Engineers

PyData

28:28

Raphael Pierzina - Kickstarting projects with Cookiecutter

PyData

30:03

Max Humber - Patsy: The Lingua Franca to and from R

PyData

1:10:26

Jo-fai Chow - Introduction to Machine Learning with H2O and Python

PyData

1:23:37

Alexandru Agachi - Introductory tutorial on data exploration and statistical models

PyData

39:10

Lightning Talks

PyData

49:15

Trent McConaghy - Blockchains for Artificial Intelligence

PyData