I'm planning to upgrade my computer and also want to buy some new DDR3 RAM modules. Making some research I realized that there are 2 main characteristics of RAMs (beside capacity): frequency and latency.
I want to use my computer for data analysis as well (like Kaggle competitions). Usually I work in R and sometimes in Python.
I understand that there is a trade-off between latency and frequency (that is also reflected in the price sometimes). My question is which one is more important for data analysis purposes? How can it effect real world performance? How much difference should I expect between choosing a model with overall better and lower parameter values?
UPDATE: I don't ask which RAM is better in general. I need answer from users who know how memory management happens in R (or Python). How are the different ML algorithms managed in memory and which RAM characteristics are preferred to support it. I would also appreciate personal experiences on this field.