A perfect model is often an illusion because of the ratio effort / impact, Model Quality Decay and Prediction Window. To be pragmatic, we should focus on models that are quick to update and implement.

So, you think AI classifies well? How we end up misleading AI users about the efficiency of classification models

Data scientists spend a large portion of their time on data preparation activities. Much of this data preparation activity involves data wrangling.

Discover the most frequently encountered problems, tools, and trends for data preparation.