Haskel

A chubby old fuck who loves to dances on tables and is lonely. It likes to crawl all over wamen a breath on their tits. His dick size is 1cm and he is unhealthy.

Stop being a Haskel you annoying fuck!!

by ZephFurry November 26, 2019

Hankologyism

A relatively unknown religion originating in the Pacific Northwest. Worshipers of the Person known as Hank. His accomplishments include beating Kevin (because Kevin sucks), being more awesome than Kevin, and cloning. He's like 8 Gods, plus a Jesus.

-Hankologyism is awesome.
-It sounds pretty disturbing to me.
-Don't worry, it's more like a cult than a religion.
-Oh. O.K.
-Want some kool aid?

by Ryan 4/24/92 December 9, 2008

Haseo

1. The main character in the .hack//GU series. Has anger issues and hates Old Hags.
2. Complete Badass
3. Manwhore

Random Person: Wow, Haseo is awesome.
Pi: Well, I for one-
Haseo: *kills Pi* Badass: 1 - Old Hag: 0

by autumnmycat March 22, 2009

haskima

Pronounced: hush-key-ma

A word often uttered by overly spastic high school freshmen in reference to tallish, skiny, Indian peers.

*While running down the halls*

"HASKIMA, HASKIMA!"

"Dude, chill out. Are you on drugs?"

by The pseudo-Batman of Gotham November 11, 2010

Hackopotamus

A creature who refuses to improve an existing skill set.

Did you see that guy's work? What a hackopotamus!

by ChrisN_PGH March 5, 2011

hackonomist

Hackonomist (hack + economist) is a derogatory term denoting
(1) a partisan (biased) economist,

(2) a political hack disguising as an economist or

(3) simply a pseudo-economist.

Paul Krugman is a leftist hackonomist.

by ari100 May 3, 2011

hackometric

in contrast to parametric, semiparametric, and nonparametric approaches to inference, a hackometric approach completely lacks theory. it is any approach which essentially throws a bunch of machine learning algorithms at a problem and gets some kind of solution.

our nonparametric classifier estimator worked ok. our hackometric approach works as follows: log-transform the data, apply SVD, keep the first 6 singular values & vectors, and the last 2, and then put them through a SVM with a RBF kernel. this improves results by 0.002%, which is significant at alpha=0.05 level (uncorrected for multiple tests).

by jovo March 9, 2012