PyCon.DE 2017 Hendrik Niemeyer - Synthetic Data for Machine Learning Applications
PyCon.DE 2018: Building Semi-supervised Classifiers When Labeled Data Is Unavailable - H. Niemeyer
Docker and Python - A Match made in Heaven
Hendrik Niemeyer "Intro to C++20's Concepts"
PyCon.DE 2017 Nafiul Islam - Graphql in the Python World
PyCon.DE 2017 Jens Nie,Peer Wagner - Empowered by Python - A success story
PyCon.DE 2017 Florian Rhiem - Integrating Jupyter Notebooks into your Infrastructure
PyCon.DE 2017 Alex Conway - Deep Learning for Computer Vision
PyCon.DE 2017 Axel Arnold - And now to something ELSE: Real Time Data Processing @ billiger.de
PyCon.DE 2017 Natalie Speiser, Jens Beyer - Data Science Project for Beginners
Synthetic Test Data is the Future of Test Data Provision
PYCON UK 2017: Introduction to Survival Analysis with scikit survival
A Friendly Introduction to Rust - Henrik Niemeyer
PyCon.DE 2018: Data Science Complexity And Solutions In Real Industrial Projects - Artur Miller
AI.Reverie: The Power of Synthetic Data
Tech Talk on Synthetic Data
Preview of SynCity's real-time synthetic data generation
Synthetic Data Generation for Training Part Detectors
procedural extrusions: synthetic atlanta data set
Synthetic Data will be one of the most important topics for the upcoming 8 years.
