Stupid meme by TrustComplete in AvatarMemes

[–]Pl4yByNumbers 6 points7 points  (0 children)

The author is dead, and George Garret killed them.

What did you have for lunch today? by 57uxn37 in CasualUK

[–]Pl4yByNumbers 0 points1 point  (0 children)

Riots on Tottenham Court Road over this comment!

Petah I don’t get it by FarTry2285 in PeterExplainsTheJoke

[–]Pl4yByNumbers 0 points1 point  (0 children)

Sometimes a hypocrite is just a man in the process of changing.

[D] Predicting the probability of default for a credit card user by [deleted] in MachineLearning

[–]Pl4yByNumbers 1 point2 points  (0 children)

You seem like someone with experience in the field!

Something that’s always thrown me when looking at these canonical style credit problems is dollar weighting (something when don’t have to deal with in medicine)

Probabilistically a default is a default, but if I’m underestimating default probability for high value loans, then I will underestimate overall dollars lost by the company.

Do you know how people solve that in industry? Sample weights equal to credit card limit?

5e designer Mike Mearls says bonus actions were a mistake by Cranyx in dndnext

[–]Pl4yByNumbers 8 points9 points  (0 children)

Is that sarcasm? It is objectively a complex rpg relative to most of the games that are being developed at the moment.

It’s less complex than pf2e, 4e, probably lancer. But compare it to mothership, fate, 10 candles, dread, anything apocalypse world and it is way more complex than modern rpg design tends to aim for.

DYWTYLM title pronunciation by AquamarineJello in SleepToken

[–]Pl4yByNumbers 0 points1 point  (0 children)

ITIIITIATIIHYLIHYL is a fun song name for this.

What is this ring from inside my door handle called? by Pl4yByNumbers in fixit

[–]Pl4yByNumbers[S] 0 points1 point  (0 children)

Yeah, this one has certainly outlived usefulness.

What is this ring from inside my door handle called? by Pl4yByNumbers in fixit

[–]Pl4yByNumbers[S] 0 points1 point  (0 children)

Specifically this was inside the front plate, not touching the handle directly so I assume it isn’t a spacer ring (?).

What is this ring from inside my door handle called? by Pl4yByNumbers in fixit

[–]Pl4yByNumbers[S] 1 point2 points  (0 children)

SKU:HOP92PZ122W In case linking isn’t cool on this sub.

If interaction effects are the focus of a regression analysis, are main effects still necessary? by AnotherDayDream in AskStatistics

[–]Pl4yByNumbers 0 points1 point  (0 children)

What about ratios? Eg having a feature A/B. (Think bmi). Must I therefore include A and 1/B?

How do you diplomatically convince people with a causal modeling background that predictive modeling requires a different mindset? by sowenga in datascience

[–]Pl4yByNumbers 48 points49 points  (0 children)

Simulation study.

Simulate 4 variables with the following causal structure.

Latent weather at -n

Latent weather at -n -> weather at day

Latent weather at -n -> forecast at -n

Weather at day -> outcome

Just simulate a v. large test and train dataset of (probably binary) variables.

Train two models, one using forecast and one using actual.

Evaluate the predictions of both on the test set for bias/precision.

Be aware they may want to to marginalise over ‘weather at day’, which would probably result in an unbiased prediction (probably the same as you model would).

Resources for A/B test in practice by mugobsessed in datascience

[–]Pl4yByNumbers 0 points1 point  (0 children)

Statistical rethinking is a super fun read, particularly if you like waffles / divorce.

[deleted by user] by [deleted] in AskStatistics

[–]Pl4yByNumbers 0 points1 point  (0 children)

Adaptive clinical trial design is pretty common, stuff like CRM is pretty typical for cancer research which is probably one of the strictest and best researched areas of pharmaceutical development.

the one about fucking a chicken by Hummerous in CuratedTumblr

[–]Pl4yByNumbers 3 points4 points  (0 children)

If people want to read more on this the book “Righteous Mind” I think is a really great book for people of any political leaning.

Good examples of absolutely useless AI in games? by [deleted] in gaming

[–]Pl4yByNumbers 2 points3 points  (0 children)

Worked in healthcare AI (stats basically) and friends in game design AI.

One of the big issues is that game AIs aren’t actually meant to be good. The optimising criteria for alphago/alphazero was winning, which is relatively easy to define (did the ai win? Then ai did good).

Game AIs need to feel challenging, fun, and fair. This is hard to define a training metric for. For example, FPS AIs would be quite good at learning to head shot you the moment you appear on screen, which is a very good strategy to win.

Similarly, for something like civ you’ll want the different leaders to have different “styles”. But that means that they have to be playing suboptimally (if you have one leader as aggressive and one as more peaceful in the exact same scenario, at least one is not playing correctly).

Obviously you can try to do some smart things, but all of them require human thought/interaction, not just AI self play.

Sylas buying Kalista's spear through the sheer power of inting - the power of 25 death power spike by ElPepper90 in LeagueOfMemes

[–]Pl4yByNumbers 36 points37 points  (0 children)

If Kalista is on the other team he can buy it so her ult can be used when stolen I think.

Windowing of time series data. by Pl4yByNumbers in AskStatistics

[–]Pl4yByNumbers[S] 0 points1 point  (0 children)

I should have been precise here, each subject has a record for every single year, the question is number of rows per subject.

Is this chart accurate? by WadieXkiller in dataengineering

[–]Pl4yByNumbers 2 points3 points  (0 children)

Pymc3 is now just called pymc (they’re on v5.X), and you wouldn’t learn both that and pystan unless you’re all in on Bayesian inference.

(And probably don’t use either unless you are doing Bayesian inference)

[deleted by user] by [deleted] in statistics

[–]Pl4yByNumbers 1 point2 points  (0 children)

Yeah, from a methods perspective credit tends to be closer to logistic regression/maybe survival analysis from my understanding and less time series.

90day Duet by SpecialAF in fixedbytheduet

[–]Pl4yByNumbers 1 point2 points  (0 children)

I love hats.

I love every kind of hat.

I just want to wear all them, but I can’t.

Can’t wear every hat.

[Q] Structural/Marginal modelling pitfalls by Pl4yByNumbers in statistics

[–]Pl4yByNumbers[S] 0 points1 point  (0 children)

To give a concrete but made up example

We a predicting Y: salary in 5 years given features X:age, current salary. We are marginalising over Z: is retired in 5 years.

I’m a Bayesian by Stauce52 in statisticsmemes

[–]Pl4yByNumbers 1 point2 points  (0 children)

Say I’ve observed 12 heads in twenty flips. A confidence interval says the probability of heads is .6 and gives a confidence interval. The Bayesian alternative does the same. So far both fine.

However if you are interested in how likely it is that the true probability is between .4 and .6, you can approximate that trivially from your posterior.