It’s All Training Data: Using Lessons from Machine Learning to Retrain Your Mind
As machine learning scientists, we know that training data can make or break your model.
As machine learning scientists, we know that training data can make or break your model. Where you got the data from, how biased it is, when it was sampled, how it was categorized. We think about each of these questions when trying to make a generalizable model of the world. So why don’t we apply the same concerns to our personal histories? So often we give disproportionate weight to the voice in our head that says we aren’t good enough. We do this unconsciously, without ever investigating where the data came from, or bothering to update the database.