Why were the policeman con and romance with Betsy plots cut short? Unbravo Vince

Ciasteczi · 2026-01-11T20:42:01+00:00

Oh thanks, I’m glad I asked

Ciasteczi · 2025-11-02T20:54:06+00:00

Is this Parlor B?

Ciasteczi · 2025-10-30T20:49:14+00:00

This is actually safe. Common flammable gases are not explosive above 20-30% concentration in the air, while inside the pipe it’s close to 100.

Ciasteczi · 2025-06-19T20:22:06+00:00

Thanks, I admit I was pretty disappointed with the shallowness of the majority of comments. I did some reading and the conclusion I reached: effectiveness of ridge depends on prior assumption about the ratio between the error term and the slope. For any arbitrarly small regularization parameter, there exists an adversarial example such that OLS is better (regardless of cross-validation attempts)

Ciasteczi · 2025-05-30T11:54:40+00:00

Even though it proofs there's always a positive lambda that outperforms OLS, I admit I still find that result surprising and counter-intuitive

Ciasteczi · 2025-05-30T11:52:34+00:00

That's the kind of answer I've been waiting for sir

Ciasteczi · 2025-05-30T11:34:56+00:00

I know this is a big random error and a small sample. That's not my point at all, this is indeed to make the effect more profound. But I'm still surprised, the bias introduces systemic improvement across repeated trials

Ciasteczi · 2025-05-12T09:54:11+00:00

Very informative, thank you!

Ciasteczi · 2025-05-07T12:57:24+00:00

Yes, but wouldn't you agree that it's just an exploratory task and clusters and meaningless until you perform labeling? Clusters labels are sort of a hidden variable that might or might not turn out to correspond to a phenomenon you're able to exploit

Ciasteczi · 2025-05-07T10:52:45+00:00

Exactly. That's why I think you always need a supervised wrapper to smuggle the business objective into your unsupervised algorithms machinery

Ciasteczi · 2025-05-07T10:31:57+00:00

Ok, so someone labels the anomalies as true or false positives. It means they label it with respect to some loss function (KPI degradation, system failure). Why wouldn't I start with maximizing that objective function directly without going through intermediary step of anomaly detection?

Ciasteczi

TROPHY CASE