they are to the representation of the data while we analyzed the consequences of different parameter settings for the algorithms we investigatedbuilding model that actually generalizes well to new data in production is bit trickier than that we will see how to properly adjust parameters and how to find good parameters automatically in firstthoughwe will dive in more detail into unsupervised learning and preprocessing in the next summary and outlook