Machine learning systems create rules that support the information they’re given. If the information is skewed or incomplete, the principles are going to be fundamentally flawed. These styles of data bias can sabotage machine learning models: confirmation bias: outcomes confirm existing assumptions and prejudices; correlation bias: misrepresenting variables end up in erroneous inferences; sample bias: […]