There's lots written in the credit scoring space that I think other industries could look at - especially when it comes to calibration of models. It doesn't matter if the prediction is weak just as long as it is…
It can be a AU$24 flat fee plus potentially any conversion fees for an intl transfer.
Could you provide some steps how you could bring everyone one board? We are still having python/R migration issues.
16 months old? How did the testing and overlay with PG's 18 startup mistakes go?
I'm curious about the real world implementation risk and if anyone has a methodology to proactively deal with external factors affecting the model performance. Such as if a feature is highly predictive of a certain…
There's lots written in the credit scoring space that I think other industries could look at - especially when it comes to calibration of models. It doesn't matter if the prediction is weak just as long as it is…
It can be a AU$24 flat fee plus potentially any conversion fees for an intl transfer.
Could you provide some steps how you could bring everyone one board? We are still having python/R migration issues.
16 months old? How did the testing and overlay with PG's 18 startup mistakes go?
I'm curious about the real world implementation risk and if anyone has a methodology to proactively deal with external factors affecting the model performance. Such as if a feature is highly predictive of a certain…