Theory of Data Bias Mitigation
Explore theoretical and practical methods to mitigate data bias in machine learning pipelines. Understand manual approaches like oversampling and undersampling, advanced statistical techniques, and modern adversarial methods for fairer data representation.
Let’s explore the theoretical solutions for solving various types of data bias.
Non-ML approaches
These solutions are useful for data scientists to know because they’re generally cost- and ...