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?