Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Friday May 25, 2018

  GoDataDriven
8:15

Breakfast & Registration

9:00 Hands-on introduction to Deep Learning with Keras and Tensorflow Rodrigo Agundez
10:30

Break

10:45 Structured Streaming with PySpark and Azure Databricks Andrei Varanovich
12:15

Lunch

13:15 Conversational AI with Rasa Core & NLU Tom Bocklisch
14:45

Break

15:00 Tricks, tips and topics in Text Analysis Bhargav Srinivasa Desikan
16:30

General Sessions — Saturday May 26, 2018

  Megatorium Auditorium
8:00

Breakfast & Registration

9:00

Opening Notes

9:10 Keynote: Are You Ready for GDPR? Michele Appello
9:55

Small Break

10:00 Creating correct and capable classifiers Ian Ozsvald Forecasting airline passengers using designer machine learning Alexander Backus, Jan van der Vegt
10:35

Coffee Break

11:00 Detecting Pikachu on Android (and more!) using Tensorflow Object Detection Juan De Dios Santos Rivera SAMENVATTR, or, How to Make a Text Summarization Tool for your Language of Choice Robert Rodger
11:35

Small Break

11:40 The Data I Breathe Gorjan Jovanovski

 

11:50 Super Donkey Cars Niels Zeilemaker, Julian de Ruiter
12:15

 

12:25

Lunch

14:00 Selection bias: The elephant in the room. Lucas Bernardi Learning credit networks with applications in financial industry Sumit Sourabh
14:35

Small Break

14:45 Thompson Sampling for Machine Learning Ruben Mak Winning (Some) Churners Back Ferran Elias
15:20

Coffee Break

15:45 Why AI in the Medical Field Both Sucks and Rocks: Deep Learning for Heart MRI Analysis Kicky van Leeuwen Improve classification accuracy for customer contact transcriptions Maria Vechtomova
16:20

Break

16:30 Monitoring models in production Jannes Klaas Deploying JupyterHub with Kubernetes Camilla Montonen
17:05

Break

17:15 Unit Testing Data with Marbles Jane Stewart Adams Computer-aided design of advertisement product compositions Kay Hoogland
17:50

Dinner

19:50

General Sessions — Sunday May 27, 2018

  Megatorium Auditorium
8:00

Breakfast & Registration

9:00

Opening Notes

9:10 Keynote: Pentesting ChatOps Melanie Rieback
9:55

Small Break

10:00 Elegant data pipelining with Apache Airflow Bolke de Bruin Case Study in Travel Business - Time Series Analysis with Seasonal Data Cheuk Ting Ho
10:35

Coffee Break

10:50 Half Hour of Flower: Planting the seeds for great Image Quality Dirk Guijt (Re)training word embeddings for a specific domain Jetze Schuurmans
11:25

Small Break

11:30 Scaling Machine Learning jobs with Kubernetes Tarek Mehrez, Carsten Lygteskov Hansen

 

11:40 Python and the Holy Grail of Causal Inference Dennis Ramondt, Huib Keemink
12:05

 

12:15

Lunch

13:30 DataFrames: scaling up and out Ondrej Kokes Building customer-visible data science dashboards with Altair / Vega / Vue Uwe L. Korn
14:05

Small Break

14:10 Bayesian Deep learning with 10% of the weights. Rob Romijnders “Why Should I Trust You?” - Debugging black-box text classifiers Tobias Sterbak
14:45

Coffee Break

15:05 From cells to drug responses - machine learning in cancer research Julian de Ruiter, Nanne Aben Dynamic Code Instrumentation with Hacked Interpreters: Revisiting the **kwarg(h!!) Problem James Powell
15:40

Small Break

15:45 Challenges in building Machine Learning models in production Elena Sokolova Asyncio, websockets, and BTC sitting in a tree Giovanni Lanzani
16:20

Small Break

16:30

Lightning Talks + Closing Notes

17:15

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