Category: Julian Miller series

  • Regression – a very optimisation problem: let’s reduce the residues

    Apparently, the noun regression means “A return to a less developed state”. In statistics, it means a “A a measure of the relation between the mean value of one variable (e.g. output) and corresponding values of other variables (e.g. time and cost)“. Basically we are trying to find a relationship or a pattern within some…

  • No one should have confidence in a model without looking at the data…

    Tom cat has yet to find Jerry mouse; instead, he has achieved a high training accuracy against training data. Unseen data brings a nasty surprise – the model has only achieved a very low validation accuracy. Is it the fault of the choice of classifier/preditor or an issue with the data? My own sinking I…

  • Regression – a very optimisation problem

    Apparently, the noun regression means “A return to a less developed state”. In statistics, it means a “A a measure of the relation between the mean value of one variable (e.g. output) and corresponding values of other variables (e.g. time and cost)“. Basically we are trying to find a relationship or a pattern within some…