This is the second in a series of articles intended to make Machine Learning more approachable to those without technical training.
This is the first of a series of articles intended to make Machine Learning more approachable to those who do not have a technical training.
I build R Shiny apps quite a lot, and one of the common uses is to allow dynamic filtering of the underlying data, so that you can adjust a chart or a table based on some particular subset of interest.
As I read various articles and advice on ‘storytelling’, I see a dangerous trend that encourages individuals away from a research-based approach and runs the risk of major organizations taking erroneous decisions based on a glossy but often inaccurate version of the facts.
“The system goes on-line August 4th, 1997. Human decisions are removed from strategic defense. Skynet begins to learn at a geometric rate. It becomes self-aware at 2:14 a.m. Eastern time, August 29th. In a panic, they try to pull the plug.”