Pinaki Laskar on LinkedIn: #statistics #machinelearning #datascientists

Why Machines fail to reason? I find three of these aspects: An awareness of causal relationships, Good explanations for these causal relationships, The ability to make use of the former in order to achieve motivated goals. Causality One well-known mantra of #statistics is "correlation does not imply causation". It turns out that while there are well-defined statistical measures of correlation, causality is notoriously difficult to define, formalize, or quantify. Good explanations Good explanations are also the reason why we are so convinced that this reasoning can be vastly generalized: you know that you do not want to hide under a tree during a thunderstorm.