etrk

It's very interesting, especially if you grew up playing id games, and it's also an easy read. Go for it!

Regardless of road quality, weather conditions are unpredictable.

When the rain or snow or haboob kicks in, I guess your car will pull over to the side of the road and you'll need to drive manually until conditions improve. We'll need to keep the steering wheel around for the foreseeable future.

Yeah, unless Leibnitz was busy making some tacos.

In an alternate reality, Newton did five pull-ups instead of inventing calculus.

Coyote sightings were a regular occurrence on my NextDoor feed long before the quarantine.

"if its 1 dimensional then its signal processing"

This is clearly not the case, since image signal processing, 2D Fourier transforms, etc. are alive and well.

It's asking for my email to check if my census data has been leaked? Email isn't even shown as a field in the leaked records. Is this site just harvesting emails?

It's a recommendation by the FDA in the US, not an enforced regulation.

Ah, I see what you mean. Yes, if you're not dealing with approximately bandlimited and sampled signals, then this wouldn't apply. The article is about embedded devices processing sensor data (microphones, motion/light sensors, accelerometers, etc.), and in those cases the signal of interest will often be bandlimited.

> That is, signal processing had Nyquist's rates. And typically knows there is an underlying signal. Does ml have either?

What does this question mean? Every band-limited signal has a Nyquist rate. Most signals of interest are well-contained within some finite bandwidth (e.g., human voice). Sampling above this rate will get you very little.

If you're building an ML model to process a certain class of sampled signal and you know, for example, 99% of the signal energy falls within a certain frequency range, that should guide your choice of sample rate. If you're sampling at too high a rate, your input layers may have far more parameters than are needed or useful.

Whether or not a given ML input actually contains a signal of interest doesn't seem relevant to how you sample and preprocess the signal.

What is a "typical person"? As the article states, most of these people are 70+ years old.

It would be interesting to know the prevalence of these illnesses among the cohort of 70+ year old Italians, but that would require more searching/translating than I care to do now. But feel free have at it.

If you're working for a company where it's seen as "heroic" or "passionate" to come to work sick, you're in a toxic environment.

I've had a couple co-workers who perhaps see themselves as heroic for coming to work sick, but everyone else resents them and wishes they would just stay home.

Real geniuses walk and drink their coffee at the same time.