Automated exploratory data analysis and model operationalization framework with a human in the loop
AWS Machine Learning
NOVEMBER 1, 2022
According to a Forbes survey , there is widespread consensus among ML practitioners that data preparation accounts for approximately 80% of the time spent in developing a viable ML model. The tools and technologies to assist with data preprocessing have been growing over the years. DeShazo, Chris Gennings, Juan L. Cios, and John N.
92 
Let's personalize your content