bartleby_

This is a common misperception about AI and ML. Most leading voices in ML will tell you that--unless you have a very good reason to believe differently--ML is not the tool to turn to if you need better than human accuracy. That also comports with my experience in the field over the last 6 years.

Always makes me laugh. Perhaps something like 10% clueless, 80% disingenuous and 10% feel they are somehow entitled to information that's obviously sensitive or private.

Probably just people blowing off steam and the target de jour are data scientists. If people had to sit down with their company's data scientists to air their grievances face to face I doubt they would be so condescending.

I got a chance to start using F# for the first time for some cryptography course assignments and supremely enjoyed it. Having a language that's easy to script with, has access to .Net libraries for everything and is easy to run on any major OS is kinda great.

C'mon man. I have firsthand knowledge of an editor asking a contributor to remove mentioning Amazon in a story because it cast the company in a negative light.

This is not a good example of where Monte Carlo methods are needed because solving this problem with Betas can be achieved by summation over the joint posterior where P(A) > P(B).