Data science related funny quotes



It has been customary for the users of different communities to quote funny things about their fields. It may be fun to share your funny things about Machine Learning, Deep Learning, Data Science and the things that you face every day!


Posted 2018-12-14T14:37:31.253

Reputation: 12 077

Question was closed 2020-10-28T07:55:02.193


Not quite data science, as it's more data management & archiving, but see

– Joe – 2018-12-15T23:36:50.480

4I like this, but really, does this belong here? Maybe it's better off on the Meta. – Mr Lister – 2018-12-16T14:55:08.403

Question: What's the different between machine learning and AI? Answer: If it's written in Python, then it's probably machine learning. If it's written in PowerPoint, then it's probably AI. – iBug – 2018-12-17T04:47:34.933

enter image description here – Mr Lister – 2018-12-16T15:09:27.903

cursed machine learning. – wacax – 2018-12-17T02:55:56.653

2How many epochs will we need to find ourselves in an epoch (Hellenic meaning), where the machine learning algorithm can make good jokes, to post here? – gsamaras – 2018-12-18T10:45:43.420

Anyone want to comment on why my answer was converted to a comment? None of the criteria listed in the help center seem to apply, and frankly it seems a bit rude to do in what seems to intended as a "fun" question? – jkf – 2018-12-19T03:38:07.663


@jkf the moderators have the ability, power, strength, force, capability, right and intention to make the short answers to comments. They are powerful creatures. You also can track the boxing match.

– Media – 2018-12-19T08:36:30.800

Look at and

– Yossi Levy – 2018-12-19T12:37:54.323



Q: How many machine learning specialists does it take to change a light bulb?

A: Just one, but they require a million light bulbs to train properly.

Q: How many machine learning specialists does it take to change a fluorescent light bulb?

A: That wasn't in the training data!

Nuclear Hoagie

Posted 2018-12-14T14:37:31.253

Reputation: 916

5I usually find light bulb jokes boring, but this one is cool :D – Jérémy Blain – 2018-12-14T15:38:18.657

3@JérémyBlain All the other light bulb jokes were training - we now have to rerun them with this as a model. – Lio Elbammalf – 2018-12-18T14:19:59.663


Neural Network are not black boxes. They are a big pile of linear algebra :

image from xkcd

Jérémy Blain

Posted 2018-12-14T14:37:31.253

Reputation: 702

1Ah, yes, there is xkcd about everything! – val says Reinstate Monica – 2018-12-14T20:47:25.380


I find this funny because it's true.

enter image description here


Cute funny...

enter image description here

This one always cracks me up for no reason...

enter image description here

Bruno Lubascher

Posted 2018-12-14T14:37:31.253

Reputation: 2 833

1But but but, the bar with the large uncertainty is the only one I trust. Who would trust someone who claims to be absolutely sure of everything, rather than the one who rightly puts in a realistic level of uncertainty? – gerrit – 2018-12-16T12:41:50.320


The first one is a twist on XKCD #303 without reference to the source.

– molnarm – 2018-12-18T11:06:50.937


  1. If you torture data long enough, it will tell you whatever you want to hear.

  2. Statistics shows that statistics cannot be trusted.


Posted 2018-12-14T14:37:31.253

Reputation: 352

So laconic and true! – gsamaras – 2018-12-18T10:39:49.820


Frequentists vs. Bayesians

Frequentists vs. Bayesians – xkcd


Did the sun just explode?
(It's night, so we're not sure)

[[Two statisticians stand alongside an adorable little computer that is suspiciously similar to K-9 that speaks in Westminster typeface]]
Frequentist Statistician: This neutrino detector measures whether the sun has gone nova.
Bayesian Statistician: Then, it rolls two dice. If they both come up as six, it lies to us. Otherwise, it tells the truth.
FS: Let's try. [[to the detector]] Detector! Has the sun gone nova?
Detector: <<roll>> YES.

Frequentist Statistician:
FS: The probability of this result happening by chance is $\frac1{36}=0.027$. Since $p< 0.05$, I conclude that the sun has exploded.

Bayesian Statistician:
BS: Bet you $50 it hasn't.

Title text:

'Detector! What would the Bayesian statistician say if I asked him whether the–' [roll] 'I AM A NEUTRINO DETECTOR, NOT A LABYRINTH GUARD. SERIOUSLY, DID YOUR BRAIN FALL OUT?' [roll] '... yes.'


Posted 2018-12-14T14:37:31.253

Reputation: 191


enter image description here


Mr Lister

Posted 2018-12-14T14:37:31.253

Reputation: 161

cursed machine learning. – wacax – 2018-12-17T02:55:56.653


Question: What's the different between machine learning and AI?


If it's written in Python, then it's probably machine learning.

If it's written in PowerPoint, then it's probably AI.


Posted 2018-12-14T14:37:31.253

Reputation: 121

this deserves more likes! so true!! – raspi – 2019-02-01T14:40:44.113



Let me embrace thee, sour adversity, for wise men say it is the wisest course.

Yann Le Trump!


Posted 2018-12-14T14:37:31.253

Reputation: 1 482


enter image description here

Unsure whether they qualify, but there are some fun facts taken from various sources:

Beginning from Yann Lecun:

  • Geoff Hinton doesn't need to make hidden units. They hide by themselves when he approaches.

  • Geoff Hinton doesn't disagree with you, he contrastively diverges
    (from Vincent Vanhoucke)

  • Shakespeare and Bayes are in a boat, fishing. Bayes is trying to figure out which net to cast when Shakespeare says: "loopy or not loopy? that is the question".

  • Deep Belief Nets actually believe deeply in Geoff Hinton.

  • Geoff Hinton discovered how the brain really works. Once a year for
    the last 25 years.

  • Bayesians are the only people who can feel marginalized after being integrated

    And now the legend:

    enter image description here

One from Reddit:

YOLO: you only LEARN once

P.S: Ian Goodfellow and Jurgen Schmidhuber are co-authoring a paper (to be presented at NIPS 2019) on Inverse GANs (More jokes on the topic here)

Failed Scientist

Posted 2018-12-14T14:37:31.253

Reputation: 141


A Machine Learning algorithm walks into a bar.

The bartender asks, "What'll you have?"

The algorithm says, "What's everyone else having?"


Posted 2018-12-14T14:37:31.253

Reputation: 289


"Predictions are hard -- especially about the future."

(Yogi Berra or Neils Bohr, depending whether you prefer physics or baseball)


Posted 2018-12-14T14:37:31.253

Reputation: 121


A: What is machine learning sir? B: It is not machine learning! It is machine burning, man.

enter image description here

by Davide Mazzini


Posted 2018-12-14T14:37:31.253

Reputation: 12 077


In 2006, a common joke was that you would get an award for writing a paper that would either have "Karl Marx" or "Neural Network" in the title and get accepted at NIPS. Now that's become the standard for the latter... :D

Jenny Reininger

Posted 2018-12-14T14:37:31.253

Reputation: 111