1:46
PyData Eindhoven 2023 - Aftermovie
PyData
31:33
Inge van den Ende-Leveraging conformal prediction for calibrated probabilistic time series forecasts
33:46
Stephan Sahm - Jolin.io – Reactive Notebooks for Python
44:29
Maarten Breddels - Keynote: Solara simplifies building complex dashboards.
34:03
Alyona Galyeva & Dr. Sebastian Werner - 5 ways to fail with time series
33:01
Chris Laffra - PyScript - Python in the browser
31:31
Vladimir Osin - Taming the Machine: Basics of ML Models Training and Inference Optimization
32:59
Dorian Van den Heede - Your best Bet: Effortless MLOps with Python Models in dbt
32:56
Thomas Woudsma - Structuring automated visual inspections with Django and gRPC
30:06
Mickey Beurskens - Team Red: Breaking Large Language Models
35:50
Max Pumperla - Building & Deploying LLM Apps
34:05
Joris K. - Building Fast Packages Faster: Julia as a Backend to Python and R
32:07
Ruben Arts - A New Way to Manage Python Environments with Pixi
30:10
Marco Gorelli - Polars and time zones: everything you need to know
28:50
Erdem B. & Bouke H. - Enhancing Quality Control Efficiency: A Dynamic Risk Threshold Approach
27:41
Ariadna Kramkovska - Background removal without background knowledge
37:25
Vincent D. Warmerdam - Active Teaching, Human Learning
33:57
Adrian Boguszewski - Beyond the Continuum: The Importance of Quantization in Deep Learning
35:03
Vera van der Lelij - Adjusting 2D prediction models to be usable for 3D objects
32:34
Ionut Barbu & Tim Brakenhoff - How to build production-ready data science pipelines with Kedro
31:57
Patrick de Oude - Reinforcement learning for Food Waste Reduction within Albert Heijn
34:21
Jeroen Overschie - Dataset enrichment using LLM's ✨
49:22
Ritchie Vink - Keynote on Polars Plugins
36:00
Stephan Sahm - Reactive Notebooks for Python
29:17
Bart Steverink & Laurens Schinkelshoek
35:02
Maximilian M. - SHAPtivating Insights: unravelling blackbox AI models
24:50
Bart van Erp - Brain-Inspired Natural AI: Unlocking Intelligence
