The field of machine learning arose somewhat independently of the field of statistics. As a result, machine learning experts tend not to emphasize probabilistic thinking. Probabilistic thinking and understanding uncertainty and variation are hallmarks of statistics.
Very true. That is why, a lot of ML people developed calculus based approaches first, before utilizing Bayesian methods.
Very interesting perspective. Just what I had been thinking about. So, basically the 2 components for good memory are:
While (1) ensures that the memory is saved in an efficient format, (2) ensures that it stays.
Interesting answer by @Void. I never realized that this notion of solvability was a relative one. It depends on what convenient system we want the answer to reduce to.
Some worried that the movie, rather than critiquing societal issues, might instead be painting an overly sympathetic portrait of a man whose descent into brutal villainy echoes the back stories of actual mass shooters.
when reading we can double back and re-read a word several times until it sticks (which according to some arguments may actually impair comprehension rather than increase it),
For me, I find audiobooks are great but only when given 100% of my undivided attention (so same as a book). In my personal experience, listening to an audiobook when driving, cleaning etc... has made me put down certain popular novels because my brain has been prioritising the job at hand and only sponging some audio narration in between making it easy to lose track of what's going on.
Makes sense. Contrary to what I used to believe before, true comprehension is never possible with divided attention, no matter what the medium be (audio, textual or visual).