Many data scientists (and even statisticians) often suffer under one of the following misapprehensions:
- They believe a technique doesn’t work in their current situation (when in fact it does), leading to useless precautions and missed opportunities.
- They believe a technique does work in their current situation (when in fact it does not), leading to failed experiments or incorrect results.
I feel this happens less often if you are working with observable and composable tools of the proper scale. Somewhere between monolithic all in one systems, and ad-hoc one-off coding is a cognitive sweet spot where great work can be done.
Continue reading We Want to be Playing with a Moderate Number of Powerful Blocks
The Win-Vector public R packages now all have new
pkgdown documentation sites! (And, a thank-you to Hadley Wickham for developing the
Please check them out (hint:
vtreat is our favorite).
Continue reading More documentation for Win-Vector R packages
Recently Dirk Eddelbuettel pointed out that our
R function debugging wrappers would be more convenient if they were available in a low-dependency micro package dedicated to little else. Dirk is a very smart person, and like most
R users we are deeply in his debt; so we (Nina Zumel and myself) listened and immediately moved the wrappers into a new micro-package:
Image: Friedensreich Hundertwasser
Continue reading Announcing the wrapr packge for R