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Conferences / PyData

PyData Eindhoven 2023

Nov 30, 2023 · Conference Center High Tech Campus, The Strip, High Tech Campus 1, Eindhoven, Netherlands

Conference
PyData Data science & ML
Dates
Nov 30, 2023
Venue
Conference Center High Tech Campus, The Strip, High Tech Campus 1
Place
Eindhoven, Netherlands
Format
In person
Status
Past
Attendance
—
Website
pydata.org
Recorded
22 sponsors · 32 speaker appearances
Notes
One-day conference, co-hosted with JuliaCon Local Eindhoven Tickets via Ticket Tailor; prices not found. Speakers from an archived snapshot of the (offline) self-hosted pretalx schedule export; video links matched from the PyData YouTube playlist. Speakers: full list from the pretalx schedule export; affiliations parsed from pretalx speaker bios (null where the bio states no clear current employer/institution).

Ticket prices

No ticket prices recorded

Sponsors 22

Platinum 3

Gold 2

Silver 1

Community 10

Other 6

Speakers and talks 32

SpeakerCompanyRoleTalkLinks
Maarten BreddelsWidgettiKeynoteKeynote: Solara simplifies building complex dashboards.Video
Ritchie Vink—KeynoteKeynote on Polars PluginsVideo
Adrian BoguszewskiIntelTalkBeyond the Continuum: The Importance of Quantization in Deep LearningVideo
Alyona GalyevaThoughtworksTalk5 ways to fail with time seriesVideo
Ariadna KramkovskaPrintifyTalkBackground removal without background knowledgeVideo
Bart Steverink—TalkHealthplus.ai: machine learning for medical decision support systems—
Bart van ErpEindhoven University of TechnologyTalkBrain-Inspired Natural AI: Unlocking IntelligenceVideo
Bouke HendriksRoyal FloraHollandTalkEnhancing Quality Control Efficiency: A Dynamic Risk Threshold ApproachVideo
Chris Laffra—TalkPyScript - Python in the browserVideo
Chris RackauckasMassachusetts Institute of TechnologyTalkBuilding Fast Packages Faster: Julia as a Backend to Python and RVideo
Dmitry Bagaev—TalkBrain-Inspired Natural AI: Unlocking IntelligenceVideo
Dorian Van den HeedeDatarootsTalkYour best Bet: Effortless MLOps with Python Models in dbtVideo
Dr. Sebastian WernerThoughtworksTalk5 ways to fail with time seriesVideo
Erdem BaşeğmezXebiaTalkEnhancing Quality Control Efficiency: A Dynamic Risk Threshold ApproachVideo
Inge van den Ende—TalkLeveraging conformal prediction for calibrated probabilistic time series forecasts to accelerate the renewable energy transitionVideo
Ionut BarbuBright CapeTalkHow to build production-ready data science pipelines with KedroVideo
Jeroen OverschieXebiaTalkDataset enrichment using LLM's ✨Video
Laurens Schinkelshoek—TalkHealthplus.ai: machine learning for medical decision support systems—
Marco GorelliQuansightTalkPolars and time zones: everything you need to knowVideo
Max Pumperla—TalkBuilding & Deploying LLM AppsVideo
Maximilian Messmer—TalkSHAPtivating Insights: unravelling blackbox AI models on the example of transaction monitoringVideo
Mickey Beurskens—TalkTeam Red: Breaking Large Language ModelsVideo
Patrick de OudeAlbert HeijnTalkReinforcement learning for Food Waste Reduction within Albert HeijnVideo
Rick van Dosselaar—TalkAdjusting 2D prediction models to be usable for 3D objectsVideo
Ruben Arts—TalkA New Way to Manage Python Environments with PixiVideo
Stephan SahmJolin.ioTalkReactive Notebooks for Python (for experimenting, building dashboards or real-time processes)Video
Stephan SahmJolin.ioTalkJolin.io – Reactive Notebooks for PythonVideo
Thomas WoudsmaProdrive TechnologiesTalkStructuring automated visual inspections with Django and gRPCVideo
Tim Brakenhoff—TalkHow to build production-ready data science pipelines with KedroVideo
Vera van der LelijPippleTalkAdjusting 2D prediction models to be usable for 3D objectsVideo
Vincent D. WarmerdamExplosionTalkActive Teaching, Human LearningVideo
Vladimir Osin—TalkTaming the Machine: Basics of ML Models Training and Inference OptimizationVideo

Sources