Understanding the data’s initial bias toward an objective is the first step. The next step is to create weights for each unit in the sample based on propensity score to adjust the bias in the data. After applying the calculated weights, the final stage entails assessing the bias and variance inflation.
So what's the point? I'm 100% serious with that question. If you re-weight everything to match your preconceived notions, then you'll get results in line with your preconceived notions. So, why bother with the AI in the first place? It's just a waste of everyone's time and money.
So what's the point? I'm 100% serious with that question. If you re-weight everything to match your preconceived notions, then you'll get results in line with your preconceived notions. So, why bother with the AI in the first place? It's just a waste of everyone's time and money.
It's a way to control the masses. We put our articles that an AI made, therefore they must be true. It's as controlled as a Google search.