117 karma · joined May 24, 2016
I agree completely with this. The article takes two bad parts of social media and assumes that those are the only uses for it. You've mentioned more. There's also keeping connected in a group context with family and friends that are scattered across the globe. I have an active family group in which my family shares pictures of nephews/nieces, vacation, and more - all stuff that helps keep us close when we can't see each other for long periods of time. I have an active friend group with my college roommates that does the same - when one of them discovered that his spouse was having an affair, we could all support him together.
We don't give enough credit these days to education being its own reward.
Though I agree that this is an important next challenge (and causality has been the "next challenge" for at least the last 5 years), it's often more easily solved these days with mixing in human expert knowledge to the equation (that is, using ML alongside of human expertise).
I agree. I don't remember the last time I've seen a log-log plot that doesn't look linear. I've never found a lot of use in them for actually illuminating much.
Further, as others have commented, exploratory data analysis is much easier in an environment like JMP than it is in R - when you're just playing around with the data and trying to get a sense of it, it's much easier to make quick approximate graphs in a GUI than in a command line.
In some lines of thought, that's the definition of illegal...
The data scientists that I have seen that are successful and bring the most value and seem to have the most satisfaction are those that spend time actually doing analysis and provide deep insights into the problems they are looking in to. The answers are the easy part - asking the right question is the difficult part.