Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Friday Nov. 29, 2019

	Tutorial Room
9:00	Registration
10:00	Image Recognition DL WORKSHOP Pipple, Maurice Peters
11:30	Lunch
13:00	Scheduling machine learning pipelines using Apache Airflow Axel Goblet
14:30	Break
14:45	Deep generative models for image and text generation Dimitra Gkorou, Koen Vannisselroij, Shama Khalil, Sonali Fotedar
16:15	Break
16:30	Managing Machine Learning Lifecycle with MLflow Vladimir Osin, Milan Mulji
18:00	Drinks & Dinner
21:00

General Sessions — Saturday Nov. 30, 2019

	General Room 1	General Room 2
8:30	Registration
8:50	Opening Notes
9:00	Process Mining in Python Sebastiaan J. van Zelst	A Python application to flag outliers in very high dimensional sensor data. Satej Khedekar
9:35	Break
9:50	Advertising, algorithms and Privacy: recent opensource developments Ruben Mak	Exploratory Data Analysis (EDA) and Visualization Techniques for Image Segmentation Challenges Ekhtiar Syed
10:25	Break
10:30	Untitled12.ipynb Vincent D. Warmerdam	A content-based recommender system for financial news Anca Dumitrache, Feng Lu
11:05	Break
11:10	BigMedilytics: MPyC in practice Natasja van de L'Isle	Common pitfalls leading to wrongly estimated model performance Jan van der Vegt
11:45	Lunch
13:00	Keynote: Personalization, Bandits, and Causal inference Maurits Kaptein
13:45	Break
13:50	Automated river plastic monitoring using deep learning Colin van Lieshout, Joery de Vos	Airflow and Kubernetes at JW Player, a match made in heaven? Rik Heijdens
14:25	Break
14:30	Transferring clinical prediction models across hospitals using domain-adaptation techniques Mattia Fornasa	Solar energy disaggregation from smart meter signals: an approach using a convnet/resnet hybrid Jeroen Rombouts, Frank Hendriks
15:05	Break
15:10	Preventing churn like a bandit Gerben Oostra	The 3 energy saving tips for your data science ecosystem Fahimeh Alizadeh
15:45	Break
15:50	Categorizing financial transactions for personal finance management at Yolt Alexander Backus	Next-Gen railway asset management with computer vision at ProRail Jasper Derikx, Richard Bartels
16:25	Break
16:30	Keynote: Data Science at PSV Ruud van Elk, Marc Ponsen
17:15	Announcement Challenge Winners
17:20	Closing Notes
17:30	Drinks & Bitterballs
21:00

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