Discover Top Posts Tagged with #this will never end

2024 New York vs. 2013 London.

Different time and place, same stare and smile.

Chris stared at Zach in the same way and with the same smile as he did eleven years ago.

With all the pride and delight, admiration and contentment, tenderness and fondness.

It was as if time had never passed.

#the way he stares at him #the way he smiles for him #I’m melting #this will never end #pinto in 2024 #wordplay as foreplay #pinto #chris pine #zachary quinto

It certainly can't be left like that! Elizabeth waited for the right moment, then approached Reika from behind and squeezed her cheeks.

“Oh... That's soft.”

She giggled while her cheeks were being gently squished

"Not as soft as yours ehe~" she commented as she went for a round two of squishing Elizabeth's cheeks!

*squishhhhh*

#.[dear diary - Elizabeth]#playground-of-devils #this will never end #ehehehe

why is there a 40k people waitlist for me to have an ao3 account i just want to make fanfcition

#hetalia #aph hetalia #aph #artwork #digital art #art #aph japan #aph prussia #hws japan #hws prussia #prupan #hot yaoi base #i will deliver prupan content forever #this will never end

💌no pressure but send this to the twelve nicest people you know or who seem to have a good heart and if you get five back you must be pretty awesome.💌

I see your return and raise you an:

#this will never end #infinity tags with friends #now I wonder how long will this go #chain tag #friend tags #tag post

SO YOU'RE TELLING ME. "THAT" SCENE WAS THE ONLY SCENE WE HEARD KILLUA'S FOOTSTEPS ??? YOU'RE TELLING ME HE WAS SO PANICKED AND WANTED TO DESPERATELY SAVE GON THAT HE MADE A NOISE ??? (Killua NEVER made a noise while walking, or at least it was almost inaudible, because he was raised an assassin and all) I AM NOT OKAY

#hxh #this will never end #killua zoldyck #LISTEN #killugon #they make me wanna cry please let them be happy

Iconic Things My Coding Professors Have Said (Part 7)

"we'll be using a very heurisitc method today called ‘lets just try our best’”

“by using this model, you might come up with a solution that is sub-par but... hey, thats life"

"some people are cruel and use a blind man in their drawings to explain this graph, but i'm nice so i'll use a blindfolded man instead"

“there was actually a very interesting study done not so long ago where scientists claimed that on days when more ice cream was purchased, more murders occured as well. now, i know what you’re thinking, i’d kill someone for limencello and ferrero rocher ice cream as well BUT in this case, that correlation was wrong and it was just scientists being dumb”

"now so, we’re all off next thursday, but i also have an extra days holiday on friday, so if you're trying to email me then... yeah. good luck”

"this example illustrates why we cannot repeat this exercise on more complex DOM trees because their visual representation gets too big and inaccessible too quickly. In other words: we will not be using a more complex example in a potential exam exercise because the tree would quite simply, not fit on the exam paper”

"you know, there's a little secret that we haven't told you about before... please don't hate us, but we are about to tell you about one of the best kept secrets in the Python universe and it would have made your homework SO much easier"

Prof: “does anyone know what mistake the dumb scientists made? i’ll give you a hint; correlation is not the same as causation, so what else do you think would increase the amount of ice cream bought and also increase the amount of murders committed?” student: “being human” prof: “... the correct answer is hot temperatures, but technically, you’re not wrong”

"then we'll be looking a linear model, which is the most important part of this course. you can look at it as... the swiss army knife, if you will, of data models"

"we use the pearson correlation method which is the, uh... vanilla method"

“first of all, you can immediately see that the p-value for gender has changed. why? because i made it like that. why did i make it like that? god only knows"

"we'll be looking at the titanic dataset which is a really funny data- no, wait, i shouldn't say that, it's not a funny dataset, it's a... nice dataset to- nope, it’s not nice either. entertaining? wait, no, people died. i’m not a pyschopath, i swear"

prof: "so here’s your blindfolded man on top of the curve of the graph" student: "that’s quite a dangerous place for him to be" prof: "very dangerous for him, yes, but machine learning is very dangerous... for you especially"

"so it was actually doctors who first created the earliest version of this algorithm by using a nearest neighbors set up. so instead of looking at a new patient and trying to come up with what's wrong with them, they based their diagnosis on similar past cases. for example, if someone came in with blue hair and purple eyes and yellow skin and- wow. this is starting to sound more like a carneval than a hospital. i mean, both places are a joke, but still..."

"this is the way we solved this issue for a lot of people. it seems a bit hacky, but hey, as along as it works"

prof1: "that wasn't too difficult" prof2: "speak for yourself" prof1: "i am. i don't know what’s going on with you, but i want nothing to do with this"

"you need two predictors, or more. three way interactions can be... messy, but still possible, much like other three way activites that i could mention, but i won't, because you're still children"

#coding #compblr #computer science #data analytics #machine learning #seriously you guys #this will never end