What are the meanings of Bias?
And is Under fitting, which is used in machine learning contexts, the same as "Bias"?
I have faced biased data in sampling in statistics but it seems this is a different thing to bias in learning concepts.
I have heard that some data sets are biased, also have heard the model (for example neural network) has low bias or e.g. 'high bias' problem. Are these uses of bias different?