Measuring Model Fairness - J. Henry Hinnefeld
J. Henry Hinnefeld - Measuring Model Fairness - PyCon 2019
J. Henry Hinnefeld - Git Risky Using git metadata to predict code bug risk
J. Henry Hinnefeld | High Frequency Trading in MMORPG Markets using Luigi, Pandas, and Scikit learn
Tiny Data: Using Jupyter Notebooks for Data Collection in a Nanotechnology Lab
PAIR AI Explorables | Is the problem in the data? Examples on Fairness, Diversity, and Bias.
Stanford Seminar - Can we govern algorithms with science?
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds
Das SCARF Modell Neuroleadership - kompakt & verständlich erklärt
Carlie Hinnefeld 1-on-1
Mitigating Bias in AI: Strategies for Algorithmic Fairness
PyCon PT 23 | The Aesthetics of Unbiased Machine Learning Systems: Crafting Fairness in Practice
Responsible AI (17/30) - Introduction to Fairness Criteria
Brian Hedden - On Statistical Criteria of Algorithmic Fairness
The Emerging Theory of Algorithmic Fairness
High Frequency Trading : DAX Future Algos at work
R Course. Forecasting Models
Tom hinnefeld tire flip
MLJAR: Building Binary Classifier on Numer.ai data