Conference Schedule

View past PyData event schedules here.

General Sessions — Wednesday Oct. 7, 2020

  Online
Oct. 7, 2020, 10 a.m. From notebook to production using flask and heroku Koen Vossen
Oct. 7, 2020, 11 a.m.

Code Breakfast Aftercare

Oct. 7, 2020, noon

Lunch Break

Oct. 7, 2020, 1 p.m. Productivity and performance in one programming language - A tour of Julia Avik Sengupta
Oct. 7, 2020, 1:30 p.m. Real-Time ML services: From ideation to production Ilias Sarantopoulos
Oct. 7, 2020, 2 p.m. Applying Deep Learning for Object Detection from a Telecom Perspective Wilder Rodrigues
Oct. 7, 2020, 2:30 p.m.

Break

Oct. 7, 2020, 3 p.m. Productionizing an unsupervised machine learning model to understand customer feedback Nikki van Ommeren, Maike Fischer
Oct. 7, 2020, 3:30 p.m. Understanding Deep Neural Networks Vladimir Osin
Oct. 7, 2020, 4 p.m.

Break

Oct. 7, 2020, 4:30 p.m. Fighting COVID with Python Daan de Bruin
Oct. 7, 2020, 5 p.m.

Bias in Data
Sundas Khalid

Oct. 7, 2020, 5:30 p.m. Dask at Global Scale with Coiled Matthew Rocklin
Oct. 7, 2020, 6 p.m.

General Sessions — Thursday Oct. 8, 2020

  Online
Oct. 8, 2020, 10 a.m. Building a coronaradar Damiaan Zwietering
Oct. 8, 2020, 11 a.m.

Code Breakfast Aftercare

Oct. 8, 2020, noon

Lunch Break

Oct. 8, 2020, 1 p.m.

Interview about Codam Coding College
Corinne Vigreux

Oct. 8, 2020, 1:30 p.m. The industrial challenge of missing data Reza Sahraeian
Oct. 8, 2020, 2 p.m. Playing by the Rules-Based-Systems Vincent Warmerdam
Oct. 8, 2020, 2:30 p.m.

Break

Oct. 8, 2020, 3 p.m. Improving the data understanding part by graphical hypergeometric networks. dr.ir. E.Taskesen
Oct. 8, 2020, 3:30 p.m. CANCELED Using Reinforcement Learning for yield optimization in agriculture Sri Husen, Natarajan Chidambaram
Oct. 8, 2020, 4 p.m.

Break

Oct. 8, 2020, 4:30 p.m.

RADON: DevOps framework to optimally exploit serverless computing technologies
Damian Andrew Tamburri

Oct. 8, 2020, 5 p.m. Stan: why does it exist? when is it useful? why do I use it? Daniel Lee
Oct. 8, 2020, 5:30 p.m. The causal problem of overexposure to repetitive ads: instrument variables and pymc3 Ruben Mak
Oct. 8, 2020, 6 p.m.

General Sessions — Friday Oct. 9, 2020

  Online
Oct. 9, 2020, 10 a.m. RAPIDS: How to accelerate your data science pipeline by orders of magnitude Adam Grzywaczewski
Oct. 9, 2020, 10:30 a.m. Artificial intelligence to accelerate MRI scans - Philips & LUMC winners in the fastMRI challenge Nicola Pezzotti
Oct. 9, 2020, 11 a.m.

Break

Oct. 9, 2020, 11:30 a.m. 10x smaller docker containers for Data Science Matthijs Brouns
Oct. 9, 2020, noon Monitoring a TV streaming service with AI - from PageRank to graph convolutions Dennis Ramondt
Oct. 9, 2020, 12:30 p.m.

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