Feedback from ODSC London 2017

Each of those having pros and cons depending on the information you wish to preserve (euclidian distance, local structure, global structure). A very interesting talk presented in a very imaginative way. Uncovering Complex Causes from Observational Data: Among other things, this talk enlightened us on how diagrams can actually impact the decision. If the diagram is too complex, the decision (for experts) is actually often worse than better, and if there's an error in the diagram (even the slightest one), then the decision maker doesn't really use it. Interesting regarding the use of the errors data science has!