Viewing profile — PredictorY

Machine learning and artificial intelligence are not the "same thing". To say so does not "oversimplify things just a little bit": It is grossly inaccurate. Expert systems, pattern…

This planet has reached 'peak intelligence', and is not on the downward slope.

So, this is just an advertisement?

By far the most common is supervised learning (in which there is a target variable). Less common is unsupervised learning (in which there is no target variable, but solution qualit…

I have to wonder what the legal ramifications of using one of these things to defend oneself would be.

Excel's pseudorandom number generator is weak: Agreed. The claim that someone, presumably a well-situated person in the Canadian government, might be able to put their finger on th…

Sorry, you're right: TO me, either there's a fit or there isn't. I guess my point was that no perks will compensate for a bad fit.

Personally, I'm much more concerned with the day-to-day work situation than perks, but remote work (near 100%, preferably) is something I look for.

I think that's an interesting question: It seems that many people assume that taxation and regulation should be the norm. One argument often made by governments in favor of the tax…

It's worth noting that the actual title of that essay is, "Why do deep convolutional networks generalize so poorly to small image transformations?"

In viewing the page titled 'The Criminal is Disproportionately Likely to be a Foreigner', I am reminded of the "New Yorker's View of the World": http://i.imgur.com/A3JwoFr.jpg

The interesting thing about this paper is that the "intelligent" component does not select the binarization threshold directly, but is contained within a loop (see figure 1) which …

I feel that this discussion has wandered. Are you arguing that the Chinese government is concerned with false positives in their social scoring system?