| Adam Grzywaczewski |
RAPIDS: How to accelerate your data science pipeline by orders of magnitude
|
| Avik Sengupta |
Productivity and performance in one programming language - A tour of Julia
|
| Daan de Bruin |
Fighting COVID with Python
|
| Damiaan Zwietering |
Building a coronaradar
|
| Daniel Lee |
Stan: why does it exist? when is it useful? why do I use it?
|
| Dennis Ramondt |
Monitoring a TV streaming service with AI - from PageRank to graph convolutions
|
| dr.ir. E.Taskesen |
Improving the data understanding part by graphical hypergeometric networks.
|
| Ilias Sarantopoulos |
Real-Time ML services: From ideation to production
|
| Koen Vossen |
From notebook to production using flask and heroku
|
| Maike Fischer |
Productionizing an unsupervised machine learning model to understand customer feedback
|
| Matthew Rocklin |
Dask at Global Scale with Coiled
|
| Matthijs Brouns |
10x smaller docker containers for Data Science
|
| Natarajan Chidambaram |
CANCELED Using Reinforcement Learning for yield optimization in agriculture
|
| Nicola Pezzotti |
Artificial intelligence to accelerate MRI scans - Philips & LUMC winners in the fastMRI challenge
|
| Nikki van Ommeren |
Productionizing an unsupervised machine learning model to understand customer feedback
|
| Reza Sahraeian |
The industrial challenge of missing data
|
| Ruben Mak |
The causal problem of overexposure to repetitive ads: instrument variables and pymc3
|
| Sri Husen |
CANCELED Using Reinforcement Learning for yield optimization in agriculture
|
| Vincent Warmerdam |
Playing by the Rules-Based-Systems
|
| Vladimir Osin |
Understanding Deep Neural Networks
|
| Wilder Rodrigues |
Applying Deep Learning for Object Detection from a Telecom Perspective
|
