Speakers

Name	Presentation(s)
Andrew Rutgers	The journey from home-brew analysis scripts to a product
Bas Vonk	Responsible implementation of Machine Learning models for life-and-death decision making on the Inte
Bugra Akyildiz	Model Optimization Techniques for Large Scale Recommender Systems
Corné Vriends	Dealing with the versioning of production-ready models, Estimating solar production with distributed deep learning from smart meter data
Erick Webbe	An incomplete list of implementing data science effectively
Fenno Vermeij	Estimating solar production with distributed deep learning from smart meter data
Geert Jongen	How to quickly build Data Pipelines for Data Scientists
Jelmer Wilhelm	When performance matters: running a real-time computer vision pipeline
Kay Hoogland	Synergizing model and human decision-making using augmented machine learning
Matthijs Cox	Biosensor Machine Learning with Julia
Maurits Kaptein	Applied AI on the edge
Michele Tonutti	Responsible implementation of Machine Learning models for life-and-death decision making on the Inte
Nicola Pezzotti	MimicBot: Combining Imitation and Reinforcement Learning to win the Bot Bowl competition
Pieter Van Hertum	An automated root-cause diagnostics tool by embedding ASML expertise in a machine learning solution
Rik van der Vlist	Estimating solar production with distributed deep learning from smart meter data
Ruben Mak	Some Attention for Attenuation Bias
Thomas Nägele	Explainable causal inference results
Tijl Kindt	Real-time transaction categorisation with a Bayesian feedback loop
Vincent D. Warmerdam	Optimal on Paper, Broken in Reality
Vladimir Osin	MLOPS 101: Tips, Tricks and Best Practices
Willem Hendriks	Be kind to yourself! Spend (less) time on Data Exploration