Conferences / PyData
PyData Eindhoven 2021
Nov 12, 2021 · Conference Center High Tech Campus, Eindhoven, Netherlands
- Conference
- PyData Data science & ML
- Dates
- Nov 12, 2021
- Venue
- Conference Center High Tech Campus
- Place
- Eindhoven, Netherlands
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 9 sponsors · 22 speaker appearances
- Notes
- One-day conference. Site describes it as a physical conference with sessions recorded; the Eventbrite listing is an offline event at Conference Center High Tech Campus (so in person, not online). Platinum tier also shows one unlabelled logo that could not be identified. Ticket prices not found. Speakers from the conference site's speaker list; affiliations parsed from speaker profile bios (null where not stated).
Ticket prices
No ticket prices recorded
Sponsors 9
Platinum 2
Bronze 1
Other 3
- AI Innovation Center · Promotional partners
- AIGENTS · Promotional partners
- ASML · Main sponsor
Speakers and talks 22
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Andrew Rutgers | — | Talk | The journey from home-brew analysis scripts to a product | — |
| Bas Vonk | — | Talk | Responsible implementation of Machine Learning models for life-and-death decision making on the Inte | — |
| Bugra Akyildiz | Meta | Talk | Model Optimization Techniques for Large Scale Recommender Systems | — |
| Corné Vriends | Eneco | Talk | Estimating solar production with distributed deep learning from smart meter data | — |
| Corné Vriends | Eneco | Talk | Dealing with the versioning of production-ready models, | — |
| Erick Webbe | — | Talk | An incomplete list of implementing data science effectively | — |
| Fenno Vermeij | Eneco | Talk | Estimating solar production with distributed deep learning from smart meter data | — |
| Geert Jongen | Pipple | Talk | How to quickly build Data Pipelines for Data Scientists | — |
| Jelmer Wilhelm | Whitebox Data Science | Talk | When performance matters: running a real-time computer vision pipeline | — |
| Kay Hoogland | Floryn | Talk | Synergizing model and human decision-making using augmented machine learning | — |
| Matthijs Cox | — | Talk | Biosensor Machine Learning with Julia | — |
| Maurits Kaptein | — | Talk | Applied AI on the edge | — |
| Michele Tonutti | Pacmed | Talk | Responsible implementation of Machine Learning models for life-and-death decision making on the Inte | — |
| Nicola Pezzotti | Philips | Talk | MimicBot: Combining Imitation and Reinforcement Learning to win the Bot Bowl competition | — |
| Pieter Van Hertum | ASML | Talk | An automated root-cause diagnostics tool by embedding ASML expertise in a machine learning solution | — |
| Rik van der Vlist | — | Talk | Estimating solar production with distributed deep learning from smart meter data | — |
| Ruben Mak | — | Talk | Some Attention for Attenuation Bias | — |
| Thomas Nägele | ESI | Talk | Explainable causal inference results | — |
| Tijl Kindt | ING | Talk | Real-time transaction categorisation with a Bayesian feedback loop | — |
| Vincent D. Warmerdam | — | Talk | Optimal on Paper, Broken in Reality | — |
| Vladimir Osin | — | Talk | MLOPS 101: Tips, Tricks and Best Practices | — |
| Willem Hendriks | BigData Republic | Talk | Be kind to yourself! Spend (less) time on Data Exploration | — |