Conference Schedule

View past PyData event schedules here.

	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

	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	The Data I Breathe Gorjan Jovanovski	Super Donkey Cars Niels Zeilemaker, Julian de Ruiter
12:15		Super Donkey Cars Niels Zeilemaker, Julian de Ruiter
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, Hadi Roohani Rankoohi
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

	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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