Conversation

@paninid @russellmcormond @argv_minus_one @Uair The field of data science is in its infancy. People are still trying to figure out the right questions to ask about a data set. Many of the concepts are only intuitively defined, and the language is rapidly evolving. We are still in the wild west phase, where individual efforts to maintain order and justice are the primary source, and coverage is spotty at best. Small shops spring up throughout the corporate sphere, slapping tools together haphazardly to get to some ill-defined end goal with little understanding. The bigger ML focused groups are better, but still not good. With one of the largest teams I worked on, I struggled just to get them to see that overlap between their training and test data was an issue, much less to address it. Data was an afterthought.