That is making the assumption that the person using the tool is a surgeon (an expert in the field who could function independently if needed) which is not who the targeted demographic of such tools is. No-one who understands ML to some non-zero extent would use a plug-and-play ML tool, given that there is ML left to do otherwise. A better analogy would be a janitor activating the red button of the robot machine, which then does its complex surgery where if something goes wrong, the janitor would not be able to replace/understand the problem other than trying to restart it/kick it.
Perhaps, but the meta/hyper-optimization techniques used to implement TPOT, AutoML, etc. are perfectly valid replacements for grid search and stepwise feature selection.
They take the number of people from the same IP into account. IPs are broken down into public IPs vs private IPs based on traffic/timing of usage etc. There are research papers on this sort of feature contruction using only IPs. Cross device especially uses it extensively to be able to probabilistically ascertain if the person from your house who is checking their phone is the same person who checked smth on the Desktop computer last night based on your online timing, IPs, behaviour over the day. They can figure out, for instance, your office vs home browsing timing, interests etc with the same methods.
Sure, but that doesn't apply to this particular case (BRO signs) which is used as the primary example in this article of 'Bhutan's' dark sense of humour.
This is impressive, and kindof exactly what I am in the process of doing. It's certainly the best way to get familiar with the internal workings of these methods than just tune parameters like an oblivious albeit theoretically informed monkey. How long did it take you to do them?
Same, I was studying theoretical physics in switzerland, and getting paid in gold compared to comparable programs around the world. Within 3 months of starting, I couldnt make myself wake up in the morning, and fell into depression. Leaving the phd, was the hardest decision of my life and give up the wide eyed impressed reactions to the question 'what do you do'. But now (few months later), working in Paris with days filled with novel experiences, makes me glad I didnt hang on and regret it the rest of my life.
Most of whom are dead I'm presume, and her circles were/are perhaps composed of similar freelancers who are also barely scraping by, though not homeless and thus not in a position to help given limited retirement funds?
Flowers for Algernon, by Daniel Keyes. This is easily the most moved I have been by a book that was equal parts a theory of intelligence and equal parts a realization of how important of an ingredient intelligence is to enable one to be aware of the fact of being 'alive', to have been given a variable amount of intelligence to process this fact for the next 80 years or so and that this variability in intelligence influences how that turns out.
Pretty much the only book that's made me cry uncontrollably.
It was the relationship between biology and intelligence that got me, too, not really on the disability and how he was treated, which was mainly what they focused on in school.
Really made me reflect afterwards. Totally worth it, one of my favorites, and I'm way overdue to reread it again.
Suggestion of 'Spirited Away' based purely on my ratings of X-Men and Saw? Spot on! I would love to read about the algorithm you guys are using (in an upcoming paper perhaps? :))
