Bias in Machine Learning : Types of Data Biases

Bias in Machine Learning models could often lead to unexpected outcomes. In this brief video we will look at different ways we might end up building biased ML models, with particular emphasis on societal biases such as gender, race and age. Why do we care about Societal Bias in ML Models? Consider an ML model…

What is Simpsons Paradox ?

Simpsons Paradox occures when trends in aggregates are reversed when examining trends in subgroups. Data often has biases that are might might lead to unexpected trends, but digging deeper and deciphering these biases and looking at appropriate sub-groups leads to drawing the right insights. Why does Simpson’s paradox occur ? Arithmetically, when (a1/A1) < (a2/A2)…