There's no free ride, ML is data centric, you got to get close and personal with the data and its quality. That means 90% of our time is spent on data prep and

There's no free ride, ML is data centric, you got to get close and personal with the data and its quality. That means 90% of our time is spent on data prep and evaluations. Getting to know the weak points of your dataset takes a lot of effort and custom tool building. Speaking from experience.