Failure. It happens. It happens a lot. And we can't avoid it. But we can learn to anticipate some of it, and to better deal with it as it happens to us in our data science projects. In this episode, I discuss how failure happens in projects, how to avoid some of it, how do deal with some of it, examples of where I've really failed, and how to cope with it all. Our whole discipline is about trying models and learning to make better models from failed ones, so we should be able to deal with it at a meta level...