same word they're totally different a machine learning system mainly consists of four different parts there is a data set the model the loss function and the optimization procedure statistical bias means whenever the model the loss or the optimization procedure leads to a situation where the outcome doesn't reflect the distribution of the data that you input this for example is achieved when you regularize your model which means that you put some prior knowledge onto the model you introduce bias and therefore you choose to not