Research

A Practical Approach to Fair Machine Learning

3 Applications of Generative Modelling in Machine Learning for Structured Data

Solving Data Imbalance with Synthetic Data

Limitations of Current Data Quality Solutions and (Statistical) Data Quality Assessment

Fairness and Biases in Machine Learning and Their Impact on Banking and Insurance

Automated Large-Scale Privacy-Preserving Data Rebalancing for Banking and Insurance

Three Common Misconceptions about Synthetic and Anonymised Data

Explain to Me What Synthesized Is?