sin7

5 ms·

1.
by sin7 3y ago
There's a free community version.
2.
by sin7 3y ago
I misread your comment. Sorry about that. I misread it because I think of a generation as twenty years and a lifetime as what you described. Sorry again.
3.
by sin7 3y ago
De facto is not the same as official.
4.
by sin7 3y ago
Lies, damn lies and then this. 85% counts Hispanic people as white. The 35% does not. Ain't no way this is an innocent mistake. Hispanic people have always been a large portion of California.
5.
by sin7 3y ago
If a 'fair' coin came up 70% you lose, you'd be ready to fight the person trying to scam you. At the very least ready to call the cops on them.
6.
by sin7 3y ago
Yeah. So? Make no mistake about it, there is no argument. We are not negotiating. I'm not recognizing anything that was said. Like hearing my nephew cracking up over saying poop, it was cute the first time. It's time for new mater
7.
by sin7 3y ago
Even worse, a good portion of the population believes that a good portion now believes that ... whatever you just said. And this good portion is annoying. Bring up nonsense like this in conversations where it does not fit, in the middle of
8.
by sin7 3y ago
Sir, you have made my day. This is the funniest thing related to Joe Rogan. Thank you.
9.
by sin7 4y ago
Luka is currently playing in his 5th year. He has 4 years behind him. Not the best comparison, but seems fair.
10.
by sin7 4y ago
Can poor people take out a loan and create new money?
11.
by sin7 4y ago
No need. Just attribute an unmeasurable quality such as creativity to your racial group.
12.
by sin7 4y ago
Whites also have lower average scores on them. Lower than Asians and Jews. At the elite level this would make a huge difference. At the state level not at all.
13.
by sin7 5y ago
I already have a machine that makes white castle burgers at home. It's called a microwave. The results are not the best.
14.
by sin7 5y ago
runs <- 100000 x <- vector(mode = "numeric", length = runs) for (i in 1:runs){ while (sum(sample(1:8, size = 3, replace = TRUE)) != 24){ x[i] <- x[i] + 1 } } summary(x) Min
15.
by sin7 5y ago
runs <- 10000 x <- vector(mode = "numeric", length = runs) for (i in 1:runs){ while (sum(sample(1:6, size = 3, replace = TRUE)) != 18){ x[i] <- x[i] + 1 } } summary(x) quant
16.
by sin7 5y ago
runs <- 10000 x <- vector(mode = "numeric", length = runs) for (i in 1:runs){ while (sum(sample(1:6, size = 3, replace = TRUE)) != 18){ x[i] <- x[i] + 1 } } summary(x) quant
17.
by sin7 5y ago
What am I missing? 6 x 6 X 6 = 216 or about 7 months.
18.
by sin7 5y ago
1*0 = 1 1*1 = 1 1*-1 = 1 2*0 = 1 2*1 = 2 2*-1 = 1/2 When 1 raised to any power equals 1, does the power matter at all? Even if it's unknown, the answer is 1.
19.
by sin7 5y ago
Is it too deeply entrenched to change? The number of times I have had a data.frame grouped when it wasn't supposed to be, I can count on my fingers. But the hours that I spent trying to figure it out must amount to a paycheck or two.
20.
by sin7 5y ago
Are you talking about black kids? Because I can assure you that no one gives a single fuck about their feelings or any uncomfortable differences.
21.
by sin7 5y ago
PostgreSQL is not in the game. Completely different purposes. PostgreSQL is great for what it's meant to do. Analytics is not it. Reads are too slow.
22.
by sin7 5y ago
The answer is yes. I used ClickHouse to calculate and forecast sales of products at a dozen or so stores. The compression was huge because it's essentially the same data every day except for changes to the inventory. At the time I chec
23.
by sin7 6y ago
FightCade2 is the most popular. Takes some work to set up, but has a lot of old games. No NES. Plenty of arcade though. There was Kaillera back in the day. I don't know where is stands now.
24.
by sin7 6y ago
Not really. It's a size. You can get extra large, large, medium, small and personal. It's something like 16 in diameter for an extra large, 14 in for large, etc. The personal pizza is around 6 in.
25.
by sin7 6y ago
I've been doing the data thing for a while. During one of my defenses of R, someone brought up that R was a black hole. That if you programmed in R, you were a user who just filled in the correct function arguments and it just spit out
26.
by sin7 7y ago
The headaches are pretty bad.
27.
by sin7 7y ago
Some Russians too. Maybe all Russians. Truth be told, I don't know and it matters very little to me. Yet I have read more than one article about Kenyans and hiding in the mountains from testers. Maybe it was propaganda, but I read it.
28.
by sin7 7y ago
I thought it was documented that Kenyans and Ethiopians benefited from steroids and EPO. It was all over the news the past decade or so.
29.
by sin7 7y ago
Good data scientists also need to be great at a couple of things. They must be excellent presenters, and excellent diplomats. Getting the data is the hardest part. Data silos are create all over the place and getting access to that data req
30.
by sin7 7y ago
The map is not the territory. All models are wrong, some are useful. Blah, blah, blah.

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