zkhalique

If you still use an SE you're instantly my friend. This is a battle worth fighting.

Hmm, I wonder how long it will last... if they invest more in automation.

How about its use in computer chips? Maybe all those fans and heat sinks won't be needed.

It's the same reason Greece was going bankrupt ... they couldn't print their own currency and run their own fiscal policy after they joined the Eurozone.

If you have a deep stack you can bluff, but your chances of winning aren't high if you don't have the nuts after all. You can only lose so many times before it becomes the martingale strategy.

This especially doesn't work against multiple opponents.

Whew, I thought it said "LCDs". Are those safe?

Oh brother, this is one of the reasons UNIX was much more developer-friendly.

That sounds like the exact same two statements I hear over and over when it comes to PHP

"Doing X in PHP is a bad idea"

"Well it's only a bad idea if done by unskilled developers"

Yeah, the word bias seems to be overloaded with many meanings. I actually wonder if there is any philosophical difference between the word "knowledge" and the word "bias".

But about machine learning... a system can learn from a set of outcomes which are the result of a "biased" system, that is to say tainted with an incorrect Bayesian prior which is not properly corrected, such as let's say courts in a racist society or whatever. It would learn the same bias. Because its goal is to maximize compatibility with the outcomes that the humans did. So it perpetuates those weights.

The problem is that we don't know whether the human decisions matched the reality. "Did the person commit the crime" for example. We might have to wait until more unbiased estimators for such activity come along, and throw away old historical data.

It's sort of like when Black-Scholes became a self-fulfilling prophecy for valuing derivatives, but only after it became widespread. The market started using Black-Scholes to value derivatives, so it became the best model to predict the value of derivatives. But until then, other models might have fit the historical data better.