xLaszlo / datascience-fails

Collection of articles listing reasons why data science projects fail.

xLaszlo/datascience-fails Issues

Socio-Technical Anti-Patterns in Building ML-Enabled Software - Leipzig University / MLOps.community
Updated a year ago
Dutch child benefit scandal
Updated 2 years ago
Failure Modes in Machine Learning
Updated 3 years ago
From Martin Goodson
Updated 3 years ago
51-things-that-can-go-wrong-in-a-real-world-ml-project
Closed 3 years ago
Challenges in Deploying Machine Learning: a Survey of Case Studies
Updated 4 years ago
Top 10 challenges
Closed 4 years ago1
kaggle 2017
Closed 4 years ago
OpML '20 - How ML Breaks: A Decade of Outages for One Large ML Pipeline
Closed 4 years ago
Add risk factors from paper "Machine Learning: The High-Interest Credit Card of Technical Debt"
Closed 4 years ago
Add "Managing the Risks of Adopting AI Engineering"
Closed 4 years ago1
Add some common patterns of failure caused by model rollouts
Closed 4 years ago1